diff --git a/docs/turbine_interaction.ipynb b/docs/turbine_interaction.ipynb
index bf02cb008..a9123df1d 100644
--- a/docs/turbine_interaction.ipynb
+++ b/docs/turbine_interaction.ipynb
@@ -65,7 +65,7 @@
    },
    "outputs": [],
    "source": [
-    "ti = TurbineInterface.from_library(\"internal\", \"iea_15MW_v4updated.yaml\")"
+    "ti = TurbineInterface.from_library(\"internal\", \"iea_15MW.yaml\")"
    ]
   },
   {
@@ -126,7 +126,7 @@
     }
    ],
    "source": [
-    "ti.plot_Ct_curve()"
+    "ti.plot_thrust_coefficient_curve()"
    ]
   },
   {
@@ -211,7 +211,7 @@
     }
    ],
    "source": [
-    "ti_md.plot_Ct_curve(\n",
+    "ti_md.plot_thrust_coefficient_curve(\n",
     "    legend_kwargs={\"fontsize\": 6},  # The labels are quite long, so let's shrink the font\n",
     ")"
    ]
@@ -234,7 +234,7 @@
     "\n",
     "### Loading the libraries\n",
     "\n",
-    "Loading a turbine library is either a 2 or more step process depending on how many turbine libraries\n",
+    "Loading a turbine library is a 2 or more step process depending on how many turbine libraries\n",
     "are going to be compared."
    ]
   },
@@ -250,11 +250,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "iea_15MW_floating\n",
-      "iea_15MW_multi_dim_cp_ct\n",
-      "iea_15MW\n",
       "nrel_5MW\n",
-      "iea_10MW\n"
+      "iea_10MW\n",
+      "iea_15MW_multi_dim_cp_ct\n",
+      "iea_15MW_floating\n"
      ]
     }
    ],
@@ -262,14 +261,8 @@
     "# Initialize the turbine library (no definitions required!)\n",
     "tl = TurbineLibrary()\n",
     "\n",
-    "# Load the internal library, except the 20 MW turbine\n",
-    "tl.load_internal_library(exclude=[\n",
-    "    \"iea_10MW_v3legacy.yaml\",\n",
-    "    \"iea_15MW_floating_multi_dim_cp_ct_v3legacy.yaml\",\n",
-    "    \"iea_15MW_v3legacy.yaml\",\n",
-    "    \"nrel_5MW_v3legacy.yaml\",\n",
-    "    \"x_20MW.yaml\",\n",
-    "])\n",
+    "# Load the internal library, except the IEA 15MW turbine\n",
+    "tl.load_internal_library(exclude=[\"iea_15MW.yaml\"])\n",
     "for turbine in tl.turbine_map:\n",
     "    print(turbine)"
    ]
@@ -296,13 +289,23 @@
    "metadata": {
     "scrolled": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "nrel_5MW\n",
+      "iea_10MW\n",
+      "iea_15MW_multi_dim_cp_ct\n",
+      "iea_15MW_floating\n",
+      "iea_15MW\n"
+     ]
+    }
+   ],
    "source": [
-    "# tl.load_internal_library(which=[\"x_20MW.yaml\"])\n",
-    "# for turbine in tl.turbine_map:\n",
-    "#     print(turbine)\n",
-    "\n",
-    "# TODO Removed until 20MW turbine is updated to v4"
+    "tl.load_internal_library(which=[\"iea_15MW.yaml\"])\n",
+    "for turbine in tl.turbine_map:\n",
+    "    print(turbine)"
    ]
   },
   {
@@ -311,7 +314,7 @@
    "id": "bac88742-33af-44f3-a35b-e178e60a49d3",
    "metadata": {},
    "source": [
-    "Notice that the \"x_20MW\" turbine is now loaded.\n",
+    "Notice that the \"iea_15MW\" turbine is now loaded.\n",
     "\n",
     "### Comparing turbines\n",
     "\n",
@@ -333,7 +336,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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0iM8//5xhw4axZMkS4uLimDt3LgBxcXHs3LmT2bNnl9luWfbt2+e5Xkry6aef8o9//IM1a9ZUub/ixMTEsH//fpxOJwEByg+LiIiIiIiIiIiURgmLi9iZrFwOn84qs17LRmFFytLP5pRr3zNZuZWKraCvvvqKvLw8Onfu7FWev5A1QF5eHnPmzGHFihUcPHiQnJwcsrOzfbqewp133ul53aVLF7p27UqHDh1wOBxcc801XnXHjBnDjBkz2L17N8nJySxatKjYNgcMGMC7774LuEZvJCQkADBo0CDP1EsOh4N7773XZ8fxzTffFFkYu3///l6LT3/00Uc899xzfPvtt5w+fZrc3FyysrI4d+5chX+mXbt29byOjIwkKiqKI0eOAPDdd9/Rs6d3MqysBNN9993Hm2++6XmfP1VVYZmZmYSFFb128+3cuZObb76Zp556iuuuu67M46iM8PBwnE4n2dnZhIeHV0sfIiIiIiIiIiIi9YUSFhexhmFBtIgq+QvdfE0iQ4otK8++DcOqfollZGQQGBjItm3bioxkyF/Ieu7cuSxcuJAFCxZ41l6YPHkyOTk5Ve6/JO3bt6dp06b88MMPRRIWTZo04YYbbiAxMZGsrCzPAsyFDRw4kHnz5nHw4EEcDodnlMigQYNYsmQJqamp7N+/v1wLbvvK3r17ueGGG7j//vuZPXs20dHRfPLJJyQmJpKTk1PhhEVwcLDXe2MMTqez0vE988wzpU5Bla9p06acOHGi2G27du3immuuYeLEiTz55JOVjqUsx48fJzIyUskKERERERERERGRclDC4iJ2z8D2lZ6uqfAUUdUpPj6evLw8jhw5wsCBA4uts2nTJm6++WbGjBkDgNPp5Pvvv+eKK66otrgOHDhAeno6LVu2LHb7hAkTGDFiBNOnTy+SaMnXq1cvQkJCWLx4sWcdDoCePXty9OhRli5dSmRkpM+mtQK4/PLL2bRpk9ci4Js2bfL8rLZt24bT6WTevHmeaYxWrFjh1UZISAh5eXlVjiUuLo733nvPq2zr1q2l7tO8eXPP1FeliY+P9xqJke/rr79myJAhjB071idTT5Vm586dxMfHV2sfIiIiIiIiIiIi9YUSFlLrde7cmdGjR3P33Xczb9484uPjOXr0KGvXrqVr165cf/31dOrUiZUrV/Lpp5/SuHFj5s+fz08//VTuhEVGRgY//PCD5/2ePXvYvn070dHRtG3bloyMDGbOnMmvfvUrWrRoQWpqKo8++igdO3Zk6NChxbY5bNgwjh49SlRUVIn9hoeH06dPH1566SX69+/vSWyEhIR4lRcepVAVjzzyCLfffjvx8fH88pe/5N1332XVqlV89NFHAHTs2JHz58/z0ksvceONN7Jp0yZeffVVrzZiY2PJyMhg7dq1dOvWjYiIiEpNvzVp0iTmz5/P9OnTSUxMZPv27SQnJwOukRhVMXToUB577DFOnDhB48aNAVcCYciQIQwdOpQpU6Zw+PBhAAIDA4usMVKajIwMdu/e7Xlf+HrJt3HjxmqbbkpERERERERERKS+0SqwUickJSVx9913M3XqVOLi4hg5ciRbt271fDn85JNP0r17d4YOHUpCQgItWrRg5MiR5W7/iy++ID4+3nM3/JQpU4iPj+f3v/894PpCe8eOHdx000107tyZxMREevTowcaNG0tcDNsYQ9OmTQkJKTqlVkEJCQmcOXPGs35FvkGDBnHmzBnPQti+MnLkSBYuXMgLL7zAlVdeyZIlS0hKSvL0361bN+bPn8/zzz/PVVddxd/+9jeee+45rzb69evHfffdxx133EGzZs344x//WKlY2rVrx8qVK1m1ahVdu3bllVde4YknngAoc5HxsnTp0oXu3bt7jQ5ZuXIlR48e5c0336Rly5aeR8F1NPbu3YsxBofDUWLbZV0vAAcPHuTTTz9l/PjxVToOERERERERERGRi4Wx1vo7BqkCY0xrYD/A999/T6dOnby2p6SkkJubS1BQUJFt4j9Op5PTp08DEBUV5Zl6SWD27Nm8+uqr7N+/v8ptrVmzhkceeYSdO3eW+2e8bt06br31Vnbv3u0ZmQEVP2fTp0/nxIkT/PnPfy6xjn4/q19mZiYffvghANddd53WE6kjdN7qHp2zuiklJYXOnTvnv21jrT3gz3jEPwp+nti/fz+tW7f2c0QiUtfFzljj7xCkHPb+4foa6UfXQ+1XU9cC6HqoCypyPRw4cIA2bdrkv/XZ5wlNCSUifrV48WJ69uxJkyZN2LRpE3PnzuXBBx/0SdvXX389KSkpHDx4sOAf0FK99957PP74417Jispo3rw5U6ZMqVIbIiIiIiIiIiIiFxMlLKTeS0tLK3Uti127dnmtO1CbDR8+nI0bNxa77fHHH+fxxx+v4YiqLiUlhVmzZnH8+HHatm3L1KlTeeyxx3zW/uTJkytUf+7cuT7pd+rUqT5pR0RERERERERE5GKhhIXUezExMWzfvr3U7XXFa6+9RmZmZrHboqOjazga33jxxRd58cUX/R2GiIiIiIiIiIiI+JkSFlLvBQUF0bFjR3+H4ROtWrXydwgiIiIiIiIiIiIi1UIr/YqIiIiIiIiIiIiIiN8pYSEiIiIiIiIiIiIiIn6nhIWIiIiIiIiIiIiIiPidEhYiIiIiIiIiIiIiIuJ3SliIiIiIiIiIiIiIiIjfKWEhtVJCQgKTJ0/2dxh10urVq+nYsSOBgYFMnjyZ5ORkGjVqVCN9x8bGsmDBghrpqzzS09Np3rw5e/furdF+c3JyiI2N5YsvvqjRfkVEREREREREROoyJSykVlq1ahXPPvtsjfW3YcMGbrzxRmJiYjDGsHr16iJ1xo0bhzHG6zFs2DCvOvnlW7Zs8SrPzs6mSZMmGGNwOBwAXHvttTz88MNe9V599VWMMSQnJxfpe+DAgeU6lkmTJnHbbbexf//+avsZlpQE2bp1KxMnTqyWPitj9uzZ3HzzzcTGxgLw5ZdfMmrUKNq0aUN4eDiXX345CxcurHC7M2fOLHIt/OxnP/NsDwkJYdq0aUyfPt1XhyIiIiIiIiIiIlLvKWEhtVJ0dDQNGzassf7Onj1Lt27d+NOf/lRqvWHDhnHo0CHP4+9//3uROm3atCEpKcmr7O2336ZBgwZeZQMGDGDTpk1eZevWraNNmzaepEY+h8PBkCFDyjyOjIwMjhw5wtChQ4mJianRnyFAs2bNiIiIqNE+S3Lu3Dlef/11EhMTPWXbtm2jefPmvPnmm3z99dc88cQTPPbYY7z88ssVbv/KK6/0uhY++eQTr+2jR4/mk08+4euvv67ysYiIiIiIiIiIiFwMlLCQWqnwlFDZ2dlMmzaNVq1aERkZSe/evb2+1E9PT2fUqFG0atWKiIgIunTpUmwyoSTDhw9n1qxZ3HLLLaXWCw0NpUWLFp5H48aNi9QZO3Ysy5cvJzMz01O2dOlSxo4d61Vv4MCBpKSkcPjwYU/Z+vXrmTFjhtex7dmzh3379jF48OBSY3M4HJ4ExZAhQ7xGcxT2yiuv0KFDB0JCQoiLi+ONN97w2j5//ny6dOlCZGQkbdq04YEHHiAjI8PTz/jx4zl16pRndMHTTz8NFJ0SyhjDa6+9xi233EJERASdOnXinXfe8errnXfeoVOnToSFhTF48GCWLVuGMYaTJ0+Werxlee+99wgNDaVPnz6esgkTJrBw4UIGDRpE+/btGTNmDOPHj2fVqlUVbj8oKMjrWmjatKnX9saNG9O/f3+WL19epeMQERERERERERG5WChhIXXCgw8+yObNm1m+fDk7duzg17/+NcOGDSMlJQWArKwsevTowZo1a9i5cycTJ07krrvu4vPPP/dpHA6Hg+bNmxMXF8f9999Penp6kTo9evQgNjaWt956C4C0tDQ2bNjAXXfd5VWvd+/eBAcHs27dOgB27dpFZmYmiYmJpKens2fPHsA16iIsLIy+ffuWGlu/fv347rvvAHjrrbc4dOgQ/fr1K1Lv7bff5re//S1Tp05l586dTJo0ifHjx3viAAgICGDRokV8/fXXLFu2jI8//phHH33U08+CBQuIioryjC6YNm1aiXHNnDmT22+/nR07djBixAhGjx7N8ePHAVcy5rbbbmPkyJF8+eWXTJo0iSeeeKLU4yyvjRs30qNHjzLrnTp1iujo6Aq3n5KSQkxMDO3bt2f06NGkpaUVqdOrVy82btxY4bZFREREREREREQuRkH+DkD86NOXYXPpUyAB0LIb/KbQXeL/cycc+rLsffv+F/R7sHLxuaWlpZGUlERaWhoxMTEATJs2jffff5+kpCTmzJlDq1atvL40f+ihh/jggw9YsWIFvXr1qlL/+YYNG8att95Ku3btSE1N5fHHH2f48OFs3ryZwMBAr7oTJkxg6dKljBkzhuTkZEaMGEGzZs286kRGRtK9e3fWr1/P6NGjcTgcDBgwgNDQUPr164fD4aBdu3Y4HA769u1LaGhoqfGFhITQvHlzwDWlVosWLYqt98ILLzBu3DgeeOABAKZMmcKWLVt44YUXPKM4Co5uiY2NZdasWdx3330sXryYkJAQLrnkEowxJfZR0Lhx4xg1ahQAc+bMYdGiRXz++ecMGzaMJUuWEBcXx9y5cwGIi4tj586dzJ49u8x2y7Jv3z7P9VKSTz/9lH/84x+sWbOmQm336tWL5ORk4uLiOHToEDNnzmTgwIHs3LnTaxqumJgY9u3bV6n4RURERERERERELjZKWFzMss/AmR/LrndJq6Jl546Vb9/sMxWPq5CvvvqKvLw8Onfu7N20eyFrgLy8PObMmcOKFSs4ePAgOTk5ZGdn+3Q9hTvvvNPzukuXLnTt2pUOHTrgcDi45pprvOqOGTOGGTNmsHv3bpKTk1m0aFGxbQ4YMIB3330XcI3eSEhIAGDQoEGeqZccDgf33nuvz47jm2++KbIwdv/+/b0Wn/7oo4947rnn+Pbbbzl9+jS5ublkZWVx7ty5Cv9Mu3bt6nkdGRlJVFQUR44cAeC7776jZ8+eXvXLSjDdd999vPnmm573+VNVFZaZmUlYWFiJ7ezcuZObb76Zp556iuuuu67M4yho+PDhBAS4Bqh17dqV3r17c9lll7FixQqvNTPCw8M5d+5chdoWERERERERERG5WNXLhIUxZgwwEOgBdAFCgPHW2uRi6tpyNNnWWru/HP3uBS4rYfN6a21COfqqOaENoWHpd6ADENG0+LLy7Bta9UWfMzIyCAwMZNu2bUVGMuQvZD137lwWLlzIggULPGsvTJ48mZycnCr3X5L27dvTtGlTfvjhhyIJiyZNmnDDDTeQmJhIVlYWw4cP58yZosmbgQMHMm/ePA4ePIjD4fCMEhk0aBBLliwhNTWV/fv3l2vBbV/Zu3cvN9xwA/fffz+zZ88mOjqaTz75hMTERHJyciqcsAgODvZ6b4zB6XRWOr5nnnmm1Cmo8jVt2pQTJ04Uu23Xrl1cc801TJw4kSeffLLSseRr1KgRnTt35ocffvAqP378eJGRNSIiIiIiIiIiIlK8epmwAGbhShwcAw5RchIBYGYJ5R2B0cCu8iQrCjgFLCimfG8F2qgZ/R6s/HRNhaeIqkbx8fHk5eVx5MgRBg4cWGydTZs2cfPNNzNmzBgAnE4n33//PVdccUW1xXXgwAHS09Np2bJlsdsnTJjAiBEjmD59epFES75evXoREhLC4sWLPetwAPTs2ZOjR4+ydOlSIiMjfTatFcDll1/Opk2bvBYB37Rpk+dntW3bNpxOJ/PmzfOMIlixYoVXGyEhIeTl5VU5lri4ON577z2vsq1bt5a6T/PmzT1TX5UmPj7eayRGvq+//pohQ4YwduxYn0w9Ba6kWmpqapF1Snbu3El8fLxP+hAREREREREREanv6mvC4h4gxVq7zxgzA3iupIrW2qeLKzfGvOR++XoF+z5ZUptSOZ07d2b06NHcfffdzJs3j/j4eI4ePcratWvp2rUr119/PZ06dWLlypV8+umnNG7cmPnz5/PTTz+VO2GRkZHhdXf8nj172L59O9HR0bRt25aMjAxmzpzJr371K1q0aEFqaiqPPvooHTt2ZOjQocW2OWzYMI4ePUpUVFSJ/YaHh9OnTx9eeukl+vfv70lshISEeJUXHqVQFY888gi333478fHx/PKXv+Tdd99l1apVfPTRRwB07NiR8+fP89JLL3HjjTeyadMmXn31Va82YmNjycjIYO3atXTr1o2IiIhKTb81adIk5s+fz/Tp00lMTGT79u0kJycDrpEYVTF06FAee+wxTpw4QePGjQFXAmHIkCEMHTqUKVOmcPjwYQACAwMrNBLikUce4aabbuKyyy7jxx9/5KmnniIwMNCzVke+jRs38uyzz1bpOERERERERERERC4WAf4OoDpYaz+y1lZ6pVtjTBiu0RU5wBs+C0wqLSkpibvvvpupU6cSFxfHyJEj2bp1K23btgXgySefpHv37gwdOpSEhARatGjByJEjy93+F198QXx8vOdu+ClTphAfH8/vf/97wPWF9o4dO7jpppvo3LkziYmJ9OjRg40bN5a4GLYxhqZNmxISElJq3wkJCZw5c8azfkW+QYMGcebMGc9C2L4ycuRIFi5cyAsvvMCVV17JkiVLSEpK8vTfrVs35s+fz/PPP89VV13F3/72N557zjvn169fP+677z7uuOMOmjVrxh//+MdKxdKuXTtWrlzJqlWr6Nq1K6+88gpPPPEEQJmLjJelS5cudO/e3Wt0yMqVKzl69ChvvvkmLVu29DwKrqOxd+9ejDE4HI4S2z5w4ACjRo0iLi6O22+/nSZNmrBlyxavpMfmzZs5deoUt912W5WOQ0RERERERERE5GJhrC3PEg51V4ERFsWuYVHCPr8B/gastNb+ugJ97QVCgceAGOA0sNVa+1kFwy7YZusyqrQAtoJrceoOHTp4bUxLSyMvL4/g4OAi28R/nE6nZ7HoBg0aeKZeEpgzZw5Llixh375K5xw91qxZw/Tp09mxY0e5f8br1q3jtttu44cffvCMzICKn7M777yTbt268dhjj5VYJzU1lfPnzxMYGOhJvolvZWVlsWHDBgCuvvrqUhdil9pD563u0Tmrm1JTU+nSpUv+2zbW2gP+jEf8w/15Yz/A/v37ad26rI8fIiKli52xxt8hSDns/cP1NdKProfar6auBdD1UBdU5Ho4cOAAbdq0yX/rs88T9XVKqKpKdD+/Vol9WwBJBQuMMVuBUdba1Eq0V+71Mz777DNSU727aNKkCeHh4RhjOH36dCW6l+qW/yX4xeq1116je/fuREdHs2XLFubOncu9997rk+t14MCB3HXXXXz77bfl/vC9evVqHn74YQIDA0uMoaxzlpOTQ+fOnZkwYUKpx5Gbm0tmZiaZmZl8++235YpPKi//y1SpW3Te6h6ds7rj2LFj/g5BRERERETEixIWhRhj2gGDgTTg3xXcPQnYCOwEMoDOwBTgLmCtMaaLtfaMD8OVcti/fz99+/YtcfvmzZsLZgNrtdtuu40tW7YUu+3hhx9m6tSpNRxR1e3evZt58+Zx4sQJWrduzYMPPsjDDz/ss/bvv//+CtX3xZoTISEhTJs2rcrtiIiIiIiIiIiIXEyUsChqAmCAJGutsyI7WmtnFiraDtztXjz4LuBeYH4F4ynrm3TPlFC9e/cucUqooKCgUhd/rs/i4uL4z3/+U+L22NhYgoJq9lehslNCJSUlkZmZWey26OjoOnmOX375ZV5++WV/h1Gm6pjG6+jRo4SHh9OgQQN69OhR5fakKE1TUzfpvNU9Omd1U+GRuSIiIiIiIv6mhEUBxpgAYBzgBJb6sOkluBIW/algwqKsub/cyRDAtUhxeHi41/aAgACcTqfn9cUoJCSEzp07+zuMEgUEBJT73NSVkSD1XUXOWVmMMQQEBBT53RXfCwsL08+5DtJ5q3t0zuqO0NBQf4cgIiIiIiLi5eL8Brtkw4DWwL+ttWk+bDd/guBIH7YpIiIiIiIiIiIiIlJvKGHhrSqLbZemt/t5r4/bFRERERERERERERGpF5SwcDPGNANuBI4C75RSL9gY8zNjTIdC5T8zxkQUU/9nwPPut//jw5BFREREREREREREROqNermGhTHmHmCA+20X9/M9xpgE9+tPrLWFR1HcDQQDb1hrc0ppvhXwDbAPiC1QficwxRizwb3tLNAZGOFu9zlr7YbKHI+IiIiIiIiIiIiISH1XLxMWuJIVYwuV9Xc/8hVOWFR1Oqh1wOVAPDAQiMC1dsV7wGJr7YeVbFdEREREREREREREpN6rl1NCWWvHWWtNKY9xxexzhXvbN2W0vdddL7ZQ+Xpr7R3W2s7W2kustcHW2pbW2pFKVlRcQkICkydP9ncYddLq1avp2LEjgYGBTJ48meTkZBo1alQjfcfGxrJgwYIa6as80tPTad68OXv37q3xvvv06cNbb71V4/2KiIiIiIiIiIjUVfUyYSF136pVq3j22WdrrL8NGzZw4403EhMTgzGG1atXF6kzbtw4jDFej2HDhnnVyS/fsmWLV3l2djZNmjTBGIPD4QDg2muv5eGHH/aq9+qrr2KMITk5uUjfAwcOLNexTJo0idtuu439+/dX28+wpCTI1q1bmThxYrX0WRmzZ8/m5ptvJjY2tsi29PR0WrdujTGGkydPVqjd8lwvTz75JDNmzMDpdFYueBERERERERERkYuMEhZSK0VHR9OwYcMa6+/s2bN069aNP/3pT6XWGzZsGIcOHfI8/v73vxep06ZNG5KSkrzK3n77bRo0aOBVNmDAADZt2uRVtm7dOtq0aeNJauRzOBwMGTKkzOPIyMjgyJEjDB06lJiYmBr9GQI0a9aMiIgia8/7xblz53j99ddJTEwsdntiYiJdu3atVNvluV6GDx/OmTNn+Ne//lWpPkRERERERERERC42SlhIrVR4Sqjs7GymTZtGq1atiIyMpHfv3l5f6qenpzNq1ChatWpFREQEXbp0KTaZUJLhw4cza9YsbrnlllLrhYaG0qJFC8+jcePGReqMHTuW5cuXk5mZ6SlbunQpY8d6L6sycOBAUlJSOHz4sKds/fr1zJgxw+vY9uzZw759+xg8eHCpsTkcDk+CYsiQIV6jOQp75ZVX6NChAyEhIcTFxfHGG294bZ8/fz5dunQhMjKSNm3a8MADD5CRkeHpZ/z48Zw6dcozouTpp58Gik4JZYzhtdde45ZbbiEiIoJOnTrxzjvvePX1zjvv0KlTJ8LCwhg8eDDLli2r1KiHwt577z1CQ0Pp06dPscd/8uRJpk2bVqm2y3O9BAYGMmLECJYvX16pPkRERERERERERC42SlhInfDggw+yefNmli9fzo4dO/j1r3/NsGHDSElJASArK4sePXqwZs0adu7cycSJE7nrrrv4/PPPfRqHw+GgefPmxMXFcf/995Oenl6kTo8ePYiNjfWsX5CWlsaGDRu46667vOr17t2b4OBg1q1bB8CuXbvIzMwkMTGR9PR09uzZA7hGXYSFhdG3b99SY+vXrx/fffcdAG+99RaHDh2iX79+Req9/fbb/Pa3v2Xq1Kns3LmTSZMmMX78eE8cAAEBASxatIivv/6aZcuW8fHHH/Poo496+lmwYAFRUVGekSalffE/c+ZMbr/9dnbs2MGIESMYPXo0x48fB1zJmNtuu42RI0fy5ZdfMmnSJJ544olSj7O8Nm7cSI8ePYqU79q1i2eeeYa//vWvBARU75/AXr16sXHjxmrtQ0REREREREREpL4I8ncA4j/Lvl7GX3f9tcx6V0RfwUvXvORV9tDah9h1fFeZ+959xd2MvXJsmfVKk5aWRlJSEmlpacTExAAwbdo03n//fZKSkpgzZw6tWrXy+tL8oYce4oMPPmDFihX06tWrSv3nGzZsGLfeeivt2rUjNTWVxx9/nOHDh7N582YCAwO96k6YMIGlS5cyZswYkpOTGTFiBM2aNfOqExkZSffu3Vm/fj2jR4/G4XAwYMAAQkND6devHw6Hg3bt2uFwOOjbty+hoaGlxhcSEkLz5s0B15RaLVq0KLbeCy+8wLhx43jggQcAmDJlClu2bOGFF17wjOIoOLolNjaWWbNmcd9997F48WJCQkK45JJLMMaU2EdB48aNY9SoUQDMmTOHRYsW8fnnnzNs2DCWLFlCXFwcc+fOBSAuLo6dO3cye/bsMtsty759+zzXS77s7GxGjRrF3Llzadu2Lbt3765yP6WJiYlh//79OJ3Oak+OiIiIiIiIiIiI1HVKWFzEzp4/y5FzR8qs1yKy6JfSx7OPl2vfs+fPViq2gr766ivy8vLo3LmzV3n+QtYAeXl5zJkzhxUrVnDw4EFycnLIzs726XoKd955p+d1ly5d6Nq1Kx06dMDhcHDNNdd41R0zZgwzZsxg9+7dJCcns2jRomLbHDBgAO+++y7gGr2RkJAAwKBBgzxTLzkcDu69916fHcc333xTZGHs/v37s3DhQs/7jz76iOeee45vv/2W06dPk5ubS1ZWFufOnavwz7TgOhGRkZFERUVx5Ijr2vnuu+/o2bOnV/2yEkz33Xcfb775pud9/lRVhWVmZhIWFuZV9thjj3H55ZczZsyYCh1DZYWHh+N0OsnOziY8PLxG+hQREREREREREamrlLC4iEUGR9I8onmZ9aJDo4stK8++kcGRlYqtoIyMDAIDA9m2bVuRkQz5C1nPnTuXhQsXsmDBAs/aC5MnTyYnJ6fK/Zekffv2NG3alB9++KFIwqJJkybccMMNJCYmkpWV5VmAubCBAwcyb948Dh48iMPh8IwSGTRoEEuWLCE1NZX9+/eXa8FtX9m7dy833HAD999/P7NnzyY6OppPPvmExMREcnJyKpywCA4O9npvjMHpdFY6vmeeeaZca080bdqUEydOeJV9/PHHfPXVV6xcuRIAa62n7hNPPMHMmTMrHVdxjh8/TmRkpJIVIiIiIiIiIiIi5aCExUVs7JVjKz1dU+EpoqpTfHw8eXl5HDlyhIEDBxZbZ9OmTdx8882eO+edTifff/89V1xxRbXFdeDAAdLT02nZsmWx2ydMmMCIESOYPn16kURLvl69ehESEsLixYs963AA9OzZk6NHj7J06VIiIyN9Nq0VwOWXX86mTZu8FgHftGmT52e1bds2nE4n8+bN80xjtGLFCq82QkJCyMvLq3IscXFxvPfee15lW7duLXWf5s2be6a+Kk18fLzXSAxwre1RcDH0rVu3MmHCBDZu3EiHDh0qEHn57Ny5k/j4eJ+3KyIiIiIiIiIiUh8pYSG1XufOnRk9ejR333038+bNIz4+nqNHj7J27Vq6du3K9ddfT6dOnVi5ciWffvopjRs3Zv78+fz000/lTlhkZGTwww8/eN7v2bOH7du3Ex0dTdu2bcnIyGDmzJn86le/okWLFqSmpvLoo4/SsWNHhg4dWmybw4YN4+jRo0RFRZXYb3h4OH369OGll16if//+nsRGSEiIV3nhUQpV8cgjj3D77bcTHx/PL3/5S959911WrVrFRx99BEDHjh05f/48L730EjfeeCObNm3i1Vdf9WojNjaWjIwM1q5dS7du3YiIiKjU9FuTJk1i/vz5TJ8+ncTERLZv305ycjLgGolRFUOHDuWxxx7jxIkTNG7cGKBIUuLYsWOAK4nTqFGjcredkZHhtf5F4esl38aNG7nuuuuqcBQiIiIiIiIiIiIXD60CK3VCUlISd999N1OnTiUuLo6RI0eydetWz5fDTz75JN27d2fo0KEkJCTQokULRo4cWe72v/jiC+Lj4z13w0+ZMoX4+Hh+//vfAxAYGMiOHTu46aab6Ny5M4mJifTo0YONGzeWuBi2MYamTZsSEhJSat8JCQmcOXPGs35FvkGDBnHmzBnPQti+MnLkSBYuXMgLL7zAlVdeyZIlS0hKSvL0361bN+bPn8/zzz/PVVddxd/+9jeee+45rzb69evHfffdxx133EGzZs344x//WKlY2rVrx8qVK1m1ahVdu3bllVde4YknngAoc5HxsnTp0oXu3bsXGR1Slr1792KMweFwlFinrOsF4ODBg3z66aeMHz++UvGLiIiIiIiIiIhcbEz+HO5SNxljWgP7Ab7//ns6derktT0lJYXc3FyCgoKKbBP/cTqdnD59GoCoqCjP1EsCs2fP5tVXX2X//v1VbmvNmjU88sgj7Ny5s9w/43Xr1nHrrbeye/duz8gMqPg5mz59OidOnODPf/5ziXX0+1n9MjMz+fDDDwG47rrrtJ5IHaHzVvfonNVNKSkpdO7cOf9tG2vtAX/GI/5R8PPE/v37ad26tZ8jEpG6LnbGGn+HIOWw9w/X10g/uh5qv5q6FkDXQ11QkevhwIEDtGnTJv+tzz5PaEooEfGrxYsX07NnT5o0acKmTZuYO3cuDz74oE/avv7660lJSeHgwYMF/4CW6r333uPxxx/3SlZURvPmzZkyZUqV2hAREREREREREbmYKGEh9V5aWlqpa1ns2rXLa92B2mz48OFs3Lix2G2PP/44jz/+eA1HVHUpKSnMmjWL48eP07ZtW6ZOncpjjz3ms/YnT55cofpz5871Sb9Tp071STsiIiJSexhjWgG/BkYAPwNaAMeBTcAfrbWfFbNPFPA08Ct3/UPAP4GZ1tqMYuoHAP8FTAQ6AhnAR8AT1trdheuLiIiIiNQnSlhIvRcTE8P27dtL3V5XvPbaa2RmZha7LTo6uoaj8Y0XX3yRF1980d9hiIiIiJTHQ8B0IBX4EDgKdAJGAiONMb+x1v4jv7IxJhJYD/zcXf/vQDwwDRhkjLnaWptVqI8lwD3A18AiIAa4HbjOGNPHWptSbUcnIiIiIuJnSlhIvRcUFETHjh39HYZPtGrVyt8hiIiIiFzMPgcSrLXrCxYaYwYCa4FXjDGrrbXZ7k2P4kpWPG+tnVGg/h9wJT4eBp4rUD4YV7JiA3CttTbHXf4/wHvAy8DQ6jk0ERERERH/00q/IiIiIiIi5WCtXVU4WeEu3wisAxoDXQCMMQZX8iEDeLbQLs+6y+8pVH6v+/l3+ckKd/v/Ahy4RlnUjblMRUREREQqQQkLERERERGRqjvvfs51P3fCNZ3TJmvt2YIV3e83Ae2NMW0KbEoA8rcV9oH7eZCvAhYRERERqW00JZSIiIiIiEgVuEc9/BLXgtpfuYs7uZ9LWnMiBdf0Tp2A/e71LloCO621eSXUL9hueWNrXUaVFvkvMjMzS1wvTURE6hf9vZd8uhakoIpcD9V17ShhISIiIiIiUknGmGDgDSAUmF4g2XCJ+/lUCbueLlSvovXLa395K27YsIGmTZtWsHkRkcL0VVNd8OGHH9ZQT7oearuauxZA10PtV5Hr4dixY9USg6aEEhERERERqQRjTACQDFwN/MVa+4Z/IxIRERERqduU1pJaKSEhgZ///OcsWLDA36HUOatXr2batGns2bOHhx56iJ///OdMnjyZkydPVnvfsbGxTJ48mcmTJ1d7X+WRnp7O5Zdfzueff05sbGyN9ZuTk0Pnzp1ZuXIlv/jFL2qsXxEREak57mTFUuA3wJvAfYWq5I+UKGlERFShehWtX15tytjeAtgKcPXVV9O6dVkzSImIlGHzx/6OQMrhuuuuq5mOdD3UejV2LYCuhzqgItfDgQMHqiUGJSykVlq1ahXBwcE11t+GDRuYO3cu27Zt49ChQ7z99tuMHDnSq864ceNYtmyZV9nQoUN5//33Pe+NMQBs3ryZPn36eMqzs7OJiYnh+PHjrFu3jquvvpprr72Wq666itdff91T79VXX+X+++8nKSmJcePGefWdmprKxo0byzyWSZMmMX78eP77v/+bhg0b8tZbb1XkR1EuycnJxSZBtm7dSmRkpM/7q6zZs2dz8803F5usSE9Pp1u3bhw8eJATJ07QqFGjcrc7c+ZMnnnmGa+yuLg4vv32WwBCQkKYNm0a06dPZ+3atVU5BBEREamF3MmKJOBu4O/AOGuts1C1stac8Frjwlp71hhzCGhnjAksZh2LstbEKJa1ttRPkvn/fwUIDw8nPDy8Is2LiEgdpb/3kk/XghRUkeuhuq4dJSykVoqOjq7R/s6ePUu3bt2YMGECt956a4n1hg0bRlJSkud9aGhokTpt2rQhKSnJK2Hx9ttv06BBA44fP+4pGzBgAGvWrPHad926dbRp0waHw+GVsHA4HIwdO7bM48jIyODIkSMMHTqUmJiYMuv7WrNmzWq8z5KcO3eO119/nQ8++KDY7YmJiXTt2pWDBw9Wqv0rr7ySjz76yPM+KMj7z+no0aOZOnUqX3/9NVdeeWWl+hAREZHap1Cy4h/AXaUskv0j0N8YE2mtPVugjUigP7DHWltwjYn1wJ3ubRsKtTfU/Vy4XKRWiJ2xpuxK4ld7/3C9v0MQEREpk9awkFopISHBa1qh7Oxspk2bRqtWrYiMjKR37944HA7P9vT0dEaNGkWrVq2IiIigS5cu/P3vfy93f8OHD2fWrFnccsstpdYLDQ2lRYsWnkfjxo2L1Bk7dizLly8nMzPTU7Z06dIiCYeBAweSkpLC4cOHPWXr169nxowZXse2Z88e9u3bx+DBg0uNzeFw0LBhQwCGDBmCMcarnYJeeeUVOnToQEhICHFxcbzxhvd0y/Pnz6dLly5ERkbSpk0bHnjgATIyMjz9jB8/nlOnTmGMwRjD008/DbimhCo4jZcxhtdee41bbrmFiIgIOnXqxDvvvOPV1zvvvEOnTp0ICwtj8ODBLFu2DGNMlaeweu+99wgNDfVKHBU8/pMnTzJt2rRKtx8UFOR1LRReoLJx48b079+f5cuXV7oPERERqV0KTAN1N/BPYEwJyQqstRZ4DWgA/K7Q5t+5y/9SqPzP7udnjTEhBfodDiQAH1pr91XxMEREREREai0lLKROePDBB9m8eTPLly9nx44d/PrXv2bYsGGkpLhGxGdlZdGjRw/WrFnDzp07mThxInfddReff/65T+NwOBw0b96cuLg47r//ftLT04vU6dGjB7GxsZ6pmNLS0tiwYQN33XWXV73evXsTHBzMunXrANi1axeZmZkkJiaSnp7Onj17ANeoi7CwMPr27VtqbP369eO7774D4K233uLQoUP069evSL23336b3/72t0ydOpWdO3d6ppDKjwMgICCARYsW8fXXX7Ns2TI+/vhjHn30UU8/CxYsICoqikOHDnHo0KFSv/ifOXMmt99+Ozt27GDEiBGMHj3aM9Jkz5493HbbbYwcOZIvv/ySSZMm8cQTT5R6nOW1ceNGevToUaR8165dPPPMM/z1r38lIKDyfwJTUlKIiYmhffv2jB49mrS0tCJ1evXqVa5pvERERKTO+D0wFsgAvgeeNMY8Xejx8wL1/wh8CUw3xnxgjHnOGPMBMB3XuhELCjZurV2HK8lxNfAfY8zzxpi/AquB48BD1Xp0IiIiIiJ+pimhLmLpSckcT04us17YFVfQ5pXFXmX773+ArF27ytw3etw4mowfV8kIXdLS0khKSiItLc0zzdG0adN4//33SUpKYs6cObRq1crrS/OHHnqIDz74gBUrVtCrV68q9Z9v2LBh3HrrrbRr147U1FQef/xxhg8fzubNmwkMDPSqO2HCBJYuXcqYMWNITk5mxIgRRaZLioyMpHv37qxfv57Ro0fjcDgYMGAAoaGh9OvXD4fDQbt27XA4HPTt27fY6acKCgkJoXnz5oBrSq0WLVoUW++FF15g3LhxPPDAAwBMmTKFLVu28MILL3hGcRQc3RIbG8usWbO47777WLx4MSEhIVxyySUYY0rso6Bx48YxatQoAObMmcOiRYv4/PPPGTZsGEuWLCEuLo65c+cCrnUgdu7cyezZs8tstyz79u0rMi1WdnY2o0aNYu7cubRt25bdu3dXqu1evXqRnJxMXFwchw4dYubMmQwcOJCdO3d6RrkAxMTEsG+fboIUERGpDsaYS4FrgO7ApUBj4ATwE7AN+Nha+5OPu411PzcASrrLYi+wHTzrUgwCngZ+BQwGDgHzgJnW2sxi9p8EfAVMBH6LKznyNvCEtTbVB8cgIiIiIlJrKWFxEXNmZJD7U9mf4fKK+VI67/jxcu3rdE8jVBVfffUVeXl5dO7c2as8OzubJk2auOLJy2POnDmsWLGCgwcPkpOTQ3Z2NhEREVXuP9+dd97ped2lSxe6du1Khw4dcDgcXHPNNV51x4wZw4wZM9i9ezfJycksWrSo2DYHDBjAu+++C7hGbyQkJAAwaNAgz9RLDoeDe++912fH8c033zBx4kSvsv79+7Nw4ULP+48++ojnnnuOb7/9ltOnT5Obm0tWVhbnzp2r8M+0a9eunteRkZFERUVx5MgRAL777jt69uzpVb+sBNN9993Hm2++6XmfUcI1lpmZSVhYmFfZY489xuWXX86YMWMqdAyFDR8+3DM6o2vXrvTu3ZvLLruMFStWkJiY6KkXHh7OuXPnqtSXiIiIXGCMCQbuAP4LyP9PgymmqnXX/wz4E7DCWnu+qv1ba8cB4yq4zyngYfejPPWdwCL3Q0RERETkoqKExUUsoEEDgi69tMx6gcUsgB0YHV2ufQMaNKhUbAVlZGQQGBjItm3bioxkaOBuf+7cuSxcuJAFCxZ41l6YPHkyOTk5Ve6/JO3bt6dp06b88MMPRRIWTZo04YYbbiAxMZGsrCyGDx/OmTNnirQxcOBA5s2bx8GDB3E4HJ5RIoMGDWLJkiWkpqayf/9+hgwZUm3HUdjevXu54YYbuP/++5k9ezbR0dF88sknJCYmkpOTU+GERXBwsNd7YwxOp7PS8T3zzDPlWnuiadOmnDhxwqvs448/5quvvmLlypUAuKaWdtV94oknmDlzZqViatSoEZ07d+aHH37wKj9+/HitWohcRESkLjPG3AU8B7TElaQ4CmwGvgbSgdPAJUAT4CqgL9AH6A38wRjzmLX2zWKaFhERERGRWkIJi4tYk/GVn66p8BRR1Sk+Pp68vDyOHDnCwIEDi62zadMmbr75Zs+d806nk++//54rrrii2uI6cOAA6enptGzZstjtEyZMYMSIEUyfPr1IoiVfr169CAkJYfHixZ51OAB69uzJ0aNHWbp0KZGRkT6b1grg8ssvZ9OmTV6LgG/atMnzs9q2bRtOp5N58+Z5RhGsWLHCq42QkBDy8opdX7JC4uLieO+997zKtm7dWuo+zZs390x9VZr4+HivkRjgWtuj4GLoW7duZcKECWzcuJEOHTpUIHJvGRkZpKamFlmnZOfOncTHx1e6XREREXExxmzGNaLiGK6RB8nW2i/Lsd/PgfHAKGCZMeYBa23RRb5ERERERKRW0KLbUut17tyZ0aNHc/fdd7Nq1Sr27NnD559/znPPPceaNWsA6NSpE//+97/59NNP+eabb5g0aRI/lWPKqnwZGRls376d7du3A67FoLdv3+5ZSDkjI4NHHnmELVu2sHfvXtauXcvNN99Mx44dGTp0aLFtDhs2jKNHj/LMM8+U2G94eDh9+vThpZdeon///p7ERkhIiFd54VEKVfHII4+QnJzMK6+8QkpKCvPnz2fVqlWeUQsdO3bk/PnzvPTSS+zevZs33niDV1991auN2NhYMjIyWLt2LceOHav0tEeTJk3i22+/Zfr06Xz//fesWLGCZPe6KsYUN7tD+Q0dOpSvv/7aa5RFhw4duOqqqzyPdu3aAa4kTnmSIPkeeeQR1q9fz969e/n000+55ZZbCAwM9KzVkW/jxo1cd911VToOERERAaAT8CjQ1lr7cHmSFQDW2u3W2t8CbYAZQOcydhERERERET9SwkLqhKSkJO6++26mTp1KXFwcI0eOZOvWrbRt2xaAJ598ku7duzN06FASEhJo0aIFI0eOLHf7X3zxBfHx8Z674adMmUJ8fDy///3vAQgMDGTHjh3cdNNNdO7cmcTERHr06MHGjRtLXAzbGEPTpk0JCQkpte+EhATOnDnjWb8i36BBgzhz5oxnIWxfGTlyJAsXLuSFF17gyiuvZMmSJSQlJXn679atG/Pnz+f555/nqquu4m9/+xvPPfecVxv9+vXjvvvu44477qBZs2b88Y9/rFQs7dq1Y+XKlaxatYquXbvyyiuv8MQTrvUry1pkvCxdunShe/fuRUaHlGXv3r0YY3A4HCXWOXDgAKNGjSIuLo7bb7+dJk2asGXLFq/pnzZv3sypU6e47bbbKnsIIiIickF7a+08a212ZXa21mZba+cC7X0cl4iIiIiI+JDJn8O9PjHGjAEGAj2ALkAIMN5am1xM3aeBp0pprp21dm8F+u4MzAKGAJHA98CrwKu2Gn7YxpjWwH6A77//nk6dOnltT0lJITc3l6CgoCLbxH+cTienT58GICoqyjP1ksDs2bN59dVX2b9/f5XbWrNmDY888gg7d+4s98943bp13HrrrezevZvGjRt7yit6zu644w66devG448/XmId/X5Wv8zMTD788EMArrvuOsLDw/0ckZSHzlvdo3NWN6WkpNC5s2fAQRtr7QF/xiP+UfDzxP79+2ndurWfI5K6KnbGGn+HIGXY+4fra6QfXQt1g64HyVdT1wLoeqgLKnI9HDhwgDZt2uS/9dnnifq6hsUs4DJcc9wecr8uyzJgbzHlJ8vbqTHmCuBTIBxYAfwIXA8sBq4AHipvWyIXi8WLF9OzZ0+aNGnCpk2bmDt3Lg8++KBP2r7++utJSUnh4MGDBf+Aluq9997j8ccf90pWVFROTg5dunTh4YcfLlf9rIzzrPvbt1jnhZzml/tPkpNb9uLksU0iaRZ1YTRKVk4eXx08Va5+u7VuREjwhcTL4VNZ7D9e9vReYcGBdGl9iVfZ94fPcCrzfJn7XhoVRtto74Xbt+49Xq54O13akEbhF6ZHO5V5nu9/KrqYfUFOp+XcuTDaN7R8cjyVwCDXtGv7j5/j8KmsMvuMCg8mrkVDr7KdB0+RmVP2Gi5toiNocUmY531OrpMv958scz+AK1tdQkTIhbVvjp3JZs+xs2XuFxwUwM/bNPIqSz2SwfGzOWXu27RBKO2aRXqV/WffCfKcZefa2zdrQJMGF0aTnc3KZdeh02XuB9C9bWMCAy9MAffjiUz2nzjHubOun92u7dsIKGaKuMjQIK6IifIq++bH02Rk55bZZ0yjcFo1vvCFep7T8p99J0rZ44LLW0bRIOzCf59OnM3hhyMZZe4XEGDocZn335U9x85y7EzZN4s3jgyhY/MGXmW17W+E01rXOQuxXNH1LJ3aKWEhIiIiIiIiFVdfExb3ACnW2n3GmBnAc2XtgGvhPkcV+30FuAQYYa39F4Ax5nfAR8CDxpj/sdZurmIfUkFpaWmlLr69a9cuz9RStd3w4cPZuHFjsdsef/zxUu/mr61SUlKYNWsWx48fp23btkydOpXHHnvMZ+1Pnjy5QvXnzp1b5T5DQkJ48skny1U3L8/JkX1n+Haj95eAIe5HWY79mM2xQmUNiq1ZVOqPRdd5Ke++3+wr+qVlefY9+2M23+D9ZWl5+zz0YzaHKtFnFMGcOw3fHzxS4X2dZPNNqveX0YHl3PfEj9kU/gq8vMe678cjRcrKfW7SMouUlWffLLL55nvvJEN5v3I+8mM2hSMub7zf/3i4SFkUrvMGwOmSki3ZfLOnaBKnPP2e/jGb04XuRyhvvPt/PFqpPgG+OVD4Ci7fvufJ5psU7+RcbfwbkX/O3nrzO2b8rmk5exGpOmNMINAECCupjrU2reYiEhERERGRyqqXCQtr7Uc13ad7KqirgXX5yQp3LDnupIUDuBdQwqKGxcTEeBbTLml7XfHaa6+RmVn0y0iA6OjoGo7GN1588UVefPFFf4fhN2fPnqcezswnIhex3NNlj7YS8QVjTD9cU7teTek5PEs9/dwjIiIiIlLf6D/uF1xtjOkNOIEU4CNrbdlzPFyQ4H7+sJhtnwBngUEVDco9p2xpWuS/yM7OLvJlttPpJH/pDKez7Kkj6qOAgADaty99fcWa/tkU7K8ifbds2bLc7YpvVfaclcZaiz3v/v3E0n9CHC2auu5pP3gqi9y8svtpEhlCg9ALf8rP5zn5sRxTHQHENAojuMBaHKezcjlxruypg4ICA2h1ifdNrEfOZJF5vpR43TP6NAwNIjrS+zulfcfPYSg65U9hzRqEEF5gmqTMnDyOlDGdzvmc83y962uahsIvevYgNMQ1Nc6Jczmczip76qDw4ACaN/Q+1h9PZXG+HOemcUQwUWEXprDKdTo5eLJ856blJaGEBF441ozsXNLLMa1TUIChVSPvcRFHM7I5V44prBqEBtGk0LnZfyITZzkyak0bhBJZ4Nxk5+Zx+HT51sVt3TicwAJTPp3MPM+xU+f4etfXAFx5xZUEhwQX2S80KIAWUd7n5vDpLLLLMU3SJeHBXtOL5VnLgRPFJ4MLaxEVSmjQhWM9dz6Po+WY1inAGNo09j436WdzyjWFVXhIIM0bhHqV1ba/EdnZOXz9xj4AWjcIKTG5LrVLdnal1q+uFYwxQ4B/Qf5wLI4Dpc8TKCIiIiIitZ4SFhfMLPT+pDHmt9bav5Zz//wVc1MKb7DW5hlj9gBXGGOCrLVlfztxQblXHv7ss89ITU31KmvSpAnh4eEYYzwLBkvtkpFRkbyY1Aa+Omc5OXnkfxV4NCKP/Ye2sb/ojDGlKjpxUAX2PVj5fX+sbJ9Aapm1ild0cpryiWnmet7x3dZK7b+vkv367dxUcr36I8DuSvZZHceaf95OHP2qxH0reah+OzeHq7D8WJ24DgMagNOQk3HWswC31G7HjhWeMKxOmYUrWbEAmGWtLd+CSCIiIiIiUqsFlF2l3vsSmAC0xzVddztci2NbINkYc1M528lfgbaklSxP4/p5Nyxhu4hcZAreuB51maZQEZG6zbgHnlhn2SOmRHzg58B2a+0UJStEREREROqPi36EhbX27UJFe4GXjTHfAP/GdffWOzUdVwFtytjeAtgK0Lt3bzp06OC1MS0tjby8PIKCgoiKiqqmEKWinE6n5y79Bg0aEBCg3GFt5+tzlpWVS4A7YZEXAPclJhAYqOvA17KystiwYQMAV199NWFhJa7HKrWIzlvdk5WVxT8+3kYehpCgUK67rr+/Q5JyKDwyt47JAL71dxAiIiIiIuJbF33CoiTW2rXGmFSgizEmylpb1nxK+SMrLilhexSuURsVmlvXWlvqBBKmwLzfoaGhhId7z48dEBDgmW9fX4rXTgEBATo3dYwvztnp0xfmgQ9qEEyDBpFVDUvKEBYWVuRvpNR+Om91R577z2JWVp7OWR0RGhpadqXaawvQ2d9BiIiIiIiIb+lb0tLlT+wbUY66+WtXdCq8wRgTiGuqqT0VXL9CROqhPKcTsl2JRAs0v7Q8f2JERGq3E+6Z7XKyy17kXcQHZuO6seg3/g5ERERERER8RyMsSmCMiQSuBM5yIXFRmvXu5+uAPxTaNgCILFBHyiEhIYGf//znLFiwwN+hiPjUyZPZnmyxDYSwUP0pFpG6z+me5y4IQ26uk6Ag3Rcj1cda+5kx5g7gNWPMjcC/gDTAWUL9DTUZn4iIiIiIVM5F/UnSGNPQGFNkKLkxJhz4C64FslcUHhVhjPmZMeZnBcustd8BG4DBxpjhBeqGAM+6377m40Oo11atWsWzzz5bdkUf2LBhAzfeeCMxMTEYY1i9enWROuPGjcMY4/UYNmyYV5388i1btniVZ2dn06RJE4wxOBwOAK699loefvhhr3qvvvoqxhiSk5OL9D1w4MAqH6fUDjlnL/xJCQ1TskJE6oeCa22fzTzvv0DkYhIInANuB5KAtcC6Yh4f+ytAERERERGpmHr5TZkx5h5coxoAurif7zHGJLhff2KtfQ1oAnxrjNkKfAMcBi4Ffgm0Br4CHimmi2/yuypU/gCwCVhtjPkHcAi4HtdIjZettZ9W7cguLtHR0TXW19mzZ+nWrRsTJkzg1ltvLbHesGHDSEpK8rwvbu7nNm3akJSURJ8+fTxlb7/9Ng0aNOD48eOesgEDBrBmzRqvfdetW0ebNm1wOByMGzfOU+5wOBg7dmxlDk1qmfM5eQQ6XXchWwOhoYF+jkhExDfyR1gAZJw9zyUN6/T6CFLLGWNuAv6B6was48AeXAtxi4iIiIhIHVZfR1gMAMa6H93dZf0LlOUnM44Di3ElHkYAU4FfAT8CjwK9rbXp5e3UWvs10Bt4B1ei4re4hqX/F/DfVTqii1BCQgKTJ08GXCMUpk2bRqtWrYiMjKR3796ekQoA6enpjBo1ilatWhEREUGXLl34+9//Xu6+hg8fzqxZs7jllltKrRcaGkqLFi08j8aNGxepM3bsWJYvX05mZqanbOnSpUUSDgMHDiQlJYXDhw97ytavX8+MGTO8jm3Pnj3s27ePwYMHl/t4pPbKyrhw13FgYADGFM57iojUTbbA/yrPntMIC6l2T+L6P/x/A5daa3taaweX9PBzrCIiIiIiUk71MmFhrR1nrTWlPMa565221j5ore1lrW1urQ221kZZa3tba+daazNLaN9Ya4v9ltFa+5219tfW2ibW2jBrbVdr7WJrrS2uvpTPgw8+yObNm1m+fDk7duzg17/+NcOGDSMlxbXWeVZWFj169GDNmjXs3LmTiRMnctddd/H555/7NA6Hw0Hz5s2Ji4vj/vvvJz29aD6rR48exMbG8tZbbwGQlpbGhg0buOuuu7zq9e7dm+DgYNatWwfArl27yMzMJDExkfT0dPbs2QO4Rl2EhYXRt29fnx6L1Dyn05J11v0lnjGa311E6pcCIyzOaUooqX5XAJuttS9ba7XSu4iIiIhIPVEvp4SSsq2Ys5Vzp3NqtM+IqBBuf7xnhfdLS0sjKSmJtLQ0YmJiAJg2bRrvv/8+SUlJzJkzh1atWjFt2jTPPg899BAffPABK1asoFevXj6Jf9iwYdx66620a9eO1NRUHn/8cYYPH87mzZsJDPSe1mfChAksXbqUMWPGkJyczIgRI2jWrJlXncjISLp378769esZPXo0DoeDAQMGEBoaSr9+/XA4HLRr1w6Hw0Hfvn2LnX5K6pbsc+ex7umgwiKCOJXt54BERHypwD+F587lllxPxDfOAvv8HYSIiIiIiPiWEhYXqXOnczh7sm58W/rVV1+Rl5dH587e66PnL2QNkJeXx5w5c1ixYgUHDx4kJyeH7OxsIiIifBbHnXfe6XndpUsXunbtSocOHXA4HFxzzTVedceMGcOMGTPYvXs3ycnJLFq0qNg2BwwYwLvvvgu4Rm8kJCQAMGjQIBwOB+PHj8fhcHDvvff67DjEfzJOXUgShjcMhhN+DEZExNcKjLDIzFLCQqqdA4j3dxAiIiIiIuJbSlhcpCKiQupMnxkZGQQGBrJt27YiIxkaNGgAwNy5c1m4cCELFiygS5cuREZGMnnyZHJyqm8USfv27WnatCk//PBDkYRFkyZNuOGGG0hMTCQrK4vhw4dz5syZIm0MHDiQefPmcfDgQRwOh2eUyKBBg1iyZAmpqans37+fIUOGVNtxSM3IOJuDzXW63gQagkK02LaI1C+mwJ+1zEwlLKTa/Q7YZoyZYa39g7+DERERERER31DC4iJVmamZ/CU+Pp68vDyOHDnCwIEDi62zadMmbr75ZsaMGQOA0+nk+++/54orrqi2uA4cOEB6ejotW7YsdvuECRMYMWIE06dPL5JoyderVy9CQkJYvHixZx0OgJ49e3L06FGWLl1KZGSkz6a1Ev85cyrHM1tKQFigFtsWkXrHBF4YYZGjERZS/foAS4HZxpibgPeBNMBZXGVr7V9rMDYREREREakkJSyk1uvcuTOjR4/m7rvvZt68ecTHx3P06FHWrl1L165duf766+nUqRMrV67k008/pXHjxsyfP5+ffvqp3AmLjIwMfvjhB8/7PXv2sH37dqKjo2nbti0ZGRnMnDmTX/3qV7Ro0YLU1FQeffRROnbsyNChQ4ttc9iwYRw9epSoqKgS+w0PD6dPnz689NJL9O/f35PYCAkJ8SoPDg6uwE9MapvcXCcB513fn1igUaMw/wYkIlINOjSynDnsen1Vi5L/7RPxkWRc/6waXMmL3mXUV8JCRERERKQOUMJC6oSkpCRmzZrF1KlTOXjwIE2bNqVPnz7ccMMNADz55JPs3r2boUOHEhERwcSJExk5ciSnTp0qV/tffPEFgwcP9ryfMmUKAGPHjiU5OZnAwEB27NjBsmXLOHnyJDExMVx33XU8++yzJS6GbYyhadOmZfadkJDAhg0bPOtX5Bs0aBDr1q3zikvqphMns8gfT2FDAggKCvBrPCIi1SGowP8qc3OKvcldxJf+iithISIiIiIi9YgSFlJrORwOz+vg4GBmzpzJzJkzi60bHR3N6tWrK91XQkIC1pb8mTc8PJwPPvigzHZKa6NRo0ae7U7nhS9ynnrqqWKP66mnnuKpp54qs0+p3ay15J7L9UwH1TCq+ASXiEhdV3BKqPM5eX6MRC4G1tpx/o5BRERERER8T7f5iohUo4yz58n/Di8vACIjNb2XiNRPBRfdzlXCQkRERERERCpBCQup99LS0mjQoEGJj7S0NH+HKPVYxulsz+uQCCUrRKT+Op13YYTF9wdP+zESERERERERqas0JZTUezExMWzfvr3U7SLV4fz5PALOu6cBA5o00nRQIlJ/nXVCiPv1j+nn/BqL1D/GmFustW/7oJ1brbWrfBGTiIiIiIj4nhIWUu8FBQXRsWNHf4chF6ETJ7M9i20TEkBgoAa1iUj9FRx0YYRF3nktui0+95Yx5jPgaWtt2QuLFWCMMcAI4PfAL4DA0vcQERERERF/0bdnIiLVwFpLQM6FL+yiNLpCROq54AK3wTjP25IrilTOw0Ac8J4xJs0YM8sYM9gYE1lcZWNMpDFmiDHmOSANeAfo5G5HRERERERqKY2wEBGpBuez83DmuhIWwaGBRIRr/QoRqd+Cgi257tf5f/9EfMVau9AY8zfgaWAs8DjwGOA0xhwA0oHTQBTQBGiN6+YsA5wFFgMzrbXHaj56EREREREpLyUsRESqQeaZ857X4Q1DSqkpIlI/hARBlvu1VcJCqoE72fCgMeYJYAIwEugNXOZ+FJQDbAJWA0nW2lM1F6mIiIiIiFSWEhYiIj7mzHOSfc6VsAgIMIRG6E+tiNR/ocEFpoHK1ZRQUn3cyYcXgReNMWHAlcClwCXASeAI8LW1NqvERkREREREpFbSt2giIj526nSO53VoZDCutT5FROq3oIL/q8xTwkJqhjspsc3fcYiIiIiIiG9o0W0RER/LOnthOihC9GdWRC4OgQFwHleiIsCphIWIiIiIiIhUnL5Jk4uOMYbVq1f7Owypp3LznAS47yx2Ag0itdi2iFw8ct0DyoyWsBAREREREZFKUMJCpBSxsbEYY7wef/jDHzzbHQ4HxhgaN25MVpb3NMlbt2717AOQkZFBcHAwy5cv96o3atQojDHs3bu3SN+/+93vqufApNqcPp2DZwKokABNByUiF5cAV8I2PEB/+0RERERERKTilLCQeuP8+fNlV6qEZ555hkOHDnkeDz30UJE6DRs25O233/Yqe/3112nbtq3nfYMGDfjFL36Bw+Hwqrd+/XratGnjVb5nzx727dvHkCFDfHosUv3yF9sGCNfoChG5yDQMcyUsIgMD/RyJiIiIiIiI1EVKWEitlZCQwH//93/z6KOPEh0dTYsWLXj66ac9240xvPLKK9x0001ERkYye/ZsAP73f/+X7t27ExYWRvv27Zk5cya5ubmVjqNhw4a0aNHC84iMjCxSZ+zYsSxdutTzPjMzk+XLlzN27FiveoMHD/ZKTHz33XdkZWVx//33e5U7HA5CQ0Pp27dvpeOWmpfndGJyL0wH1bBBiH8DEhGpYcadpzifk+ffQERERERERKROCqrOxo0xjYChwDVAd+BSoDFwAvgJ2AZ8DHxgrT1ZnbGItzcfm8zZkydqtM/IRo0Z89yCCu2zbNkypkyZwmeffcbmzZsZN24c/fv359prrwXg6aef5g9/+AMLFiwgKCiIjRs3cvfdd7No0SIGDhxIamoqEydOBOCpp56qVNx/+MMfePbZZ2nbti2/+c1vePjhhwkK8v7Vueuuu5g7dy5paWm0bduWt956i9jYWLp37+5Vb/DgwTz33HMcOnSIyMhINm7cSP/+/RkyZAhLlizx1Fu3bh19+/YlLCysUjGLf5w5k+PJAtsgQ4CmRBGRi4wJdCdtcy3OPCcBgbo3RkRERERERMqvWhIWxpguwG+BUUAYUPhbuwigFa4kxj1AljHmf4CXrLU7qiMm8Xb25Akyjqf7O4wyde3a1ZNo6NSpEy+//DJr1671JCx+85vfMH78eE/9CRMmMGPGDM/Ihvbt2/Pss8/y6KOPViph8d///d90796d6OhoPv30Ux577DEOHTrE/Pnzveo1b96c4cOHk5yczO9//3uWLl3KhAkTirTXv39/QkJCcDgcXH/99WzatIlBgwbRo0cPjh07xp49e2jXrh3r168nMTGxwvGKf2WezSV/EpQwTQclIhchUyA/kXveSYgSFiIiIiIiIlIBPk1YGGOaA88BY3FNN3UMWAN8CnwNpAOngUuAJsBVQD/gaiARGG+MSQYet9Ye8WVs4i2yUeM60WfXrl293rds2ZIjRy5cGr/4xS+8tn/55Zds2rTJMz0UQF5eHllZWZw7d46IiIgK9T9lyhSvWEJCQpg0aRLPPfccoaGhXnUnTJjAb3/7W8aMGcPmzZv55z//ycaNG73qRERE0LNnT9avX+9JWMyYMYOgoCD69euHw+HAWktaWhqDBw+uUKziX05rMeedAFggqqGmgxKRi8/hbNdQWoAjJzJp3bKhX+OR+ssY83vgjLX2RX/HIiIiIiIivuPrERYpQEPg/wGvA2ustaUtHvAhMN8YEwTcCExwP37Fhc+7Ug0qOjWTvwQHe9+lbozB6XR63hdeTyIjI4OZM2dy6623FmnLF9Mr9e7dm9zcXPbu3UtcXJzXtuHDhzNx4kQSExO58cYbadKkSbFtDB48mH/84x988803ZGVleaaNGjRoEOvWrcPpdBIREUHv3r2rHK/UnIyMC9NBOYMMgbqrWEQuQtkFXmecPe+3OOSi8HtcnzmUsBARERERqUd8nbD4HJhhrd1WkZ3cSY23gbeNMT2BOT6OSy4S3bt357vvvqNjx47V0v727dsJCAigefPmRbYFBQVx991388c//pF//etfJbYxePBgZs2axcqVK+nduzeBga5JhK6++mr+/Oc/Y631TB0ldYc5bz2vQyM0HZSIXJxswIW/hecyS7tnRaTKjgCZ/g5CRERERER8y6cJC2vttT5oYytQ5Xbk4vT73/+eG264gbZt23LbbbcREBDAl19+yc6dO5k1a1aF2tq8eTOfffYZgwcPpmHDhmzevJmHH36YMWPG0Lhx8QOAnn32WR555JESR1cA9OvXj9DQUP7yl794TTnVq1cvjhw5wv/+7//y2GOPVShW8S9rLdnnLnwx1+iS0FJqi4jUXwXXsDh3TiMspFptBHr5OwgREREREfEtzVki9crQoUP5f//v//Hhhx/Ss2dP+vTpw4svvshll11W4bZCQ0NZvnw5gwYN4sorr2T27Nk8/PDD/PnPfy5xn5CQEJo2bYoxhdeZvyAsLIw+ffpw5swZBgwY4NVffrnWr6hbcnOcOPNcU5WFhAUREFDy+RcRqdcCL4ywyNQIC6lezwAxxphZprT/eImIiIiISJ3i60W3xwPrrLV7fdmuXJwcDkeRstWrV3teW2uLbAdX0mLo0KEltlvSfoV1796dLVu2lFonISGh1PZGjhxZ7PaPP/6Y06dPFylft25duWKT2iW7wF3EoRG+nmlPRKTuMAUTFllKWEi16gH8FXgM+JUxZjWwlxKmibLW/rXGIhMRERERkUrz9TdrrwPWGJMGrMt/WGsP+LgfEZFawVrL2Yzz5N/aGaKEhYhcxApOCZWthIVUr2TAAgaIAx4to74SFiIiIiIidYCvv1nbBVwBXAaMA8YCGGN2453AOOzjfkUqbM6cOcyZU/z67gMHDix14WyRfJlZuRin647ivABDYKBm2hORi1dAgf9ZZmfl+S8QuRj8FVfCQkRERERE6hFfL7p9lTGmKZAADHY/Xw50cD8SAYwx33MhgeGw1h71ZRwi5XHfffdx++23F7stPDy8hqORuirjTI7ndVBYoB8jERHxv4ACU0LlZGuEhVQfa+04f8cgIiIiIiK+5/O5S6y1x4CV7gfGmOZ4JzDiCjwmuevsAj621v7WFzEYY8YAA3HNbdsFCAHGW2uTC9ULBm5yP3oBbXDdqbUL1zDzP1try317oDFmL67RJcVZb61NqMBhSDWLjo4mOjra32FIHZeXlUd+mqJhVIhfYxER8bfAAnnbnGyNsBAREREREZGKqfbJ1q21R4AV7gfGmEu5kLwYDHQCrsQ1lZRPEhbALFyJg2PAIUpOInTAlVjJANYC7wCXADcCi4ERxpibbHlXaXY5BSwopnxvBdoQkTogKyuX/JuJ8wyEhWr9ChG5uEVHOMlPU7S9RKMVpeYYYzoCzYB0a+33/o5HREREREQqp8a/XbPW/mSM+RTXqIcwoAng69vc7wFSrLX7jDEzgOdKqHcG+C9gmbX2bH6hMWYq4ABuAG4D/lmBvk9aa5+uTNAiUrecLjAdVKCmgxIRoXG4624RgOiwYL/GIvWfMSYQeAx4EFeyAmAZMMG9fTSu/+vfa6392i9BioiIiIhIhdRIwsIY05oLoyoSgNj8TUA6sBpY76v+rLUflbPeQVwjKQqXnzXGzAf+BxhExRIWInKRyMvK9UwH1aChpoMSETEF1rDIzXH6MRKp79zJiv8HXAfkAt/gGrFd0CbgDeBWQAkLEREREZE6oFoSFsaYGLynfWqXvwk4AryFK0Gx3lq7szpi8IHz7ueKrhgZaowZB8QAp4Gt1trPKhuEO9lTmhb5L7Kzs8nMzPTa6HQ6yZ/RyunUFwe1RcFzofNSNxQ+Zznn8wh0F7mmgwqs1Lm01uJ0Oov87opvZGVlFftaajedt7on/zyZAoPNss7l6G9bLZedne3vEKriPmAo8DFwt7X2R2OM1z/E1tq9xphUXEmNZ/0Qo4iIiIiIVJBPExbGmD/jSlJ0wJWcANcaEv/gQoLiW1/2WY0muJ8/rOB+LYCkggXGmK3AKGttaiXi2F/eip999hmpqd5dNGnShPDwcIwxnD59uhLdS3XLyMjwdwhSQRkZGZzLNAS5/8w5A22lfr9yc3PJzMwkMzOTb7+tK38a664NGzb4OwSpBJ23OibgwgiL1D0HOPvhD34MRspy7NixsivVXmOB48CvrbUnSqn3DdCtZkISEREREZGqCvBxe/fgSlb8B7gX6GytbWWt/Y21dkldSVYYYyYCw4GPrbXvVWDXJOAa4FIgEojHNQy9J7DWGNPQ17HWZzfccAOPPfaYv8MQKZY9f+F1cLAtuaKIyEUko8D97QfPmJIrilTdz4DPy0hWAJwCmtdAPCIiIiIi4gPVMSWUAboDswGHMSZ/ZMWuaujL54wxNwAvA/uAMRXZ11o7s1DRduBuYwzAXbiSOPMrGFKbMra3ALYC9O7dmw4dOnhtTEtLIy8vj6CgIKKioirYtX+tXr2a4OBgGjas/jzPhg0beOGFF/jPf/7DoUOHeOuttxg5cqRXHWstTz/9NK+99honT56kf//+/OlPf6JTp06eOoGBrrkwNm3aRJ8+fTzl2dnZtG7dmuPHj7N27Vquvvpq+vbty1VXXcVf/vIXAgJcucNXX32V//qv/+L1119n3Lhxnv3Hjx/P7t27Wb/eZ0u9SAU5nU7PaJjIiEhyTrmmOXEaaNakIe7f8wo5evQo4eHhNGjQgB49evg0XnHJysry3KF/9dVXExYW5ueIpDx03uqe/HMWEmw55y4LCQzhuusG+jUuKV3hkbl1TCBQnjmtWpaznoiIiIiI1AK+Tli0wXtx7dvdD2uMOQZsAByAw1pb6xa+M8aMAFYCPwFDrLWHfNT0ElwJi/5UMGFhrT1Q2vaCX5KGhoYSHh7utT0gIMAzr37+l+J1RdOmTWusr8zMTH7+85+TmJjIrbfeSkBAQJGf1/PPP89LL73EsmXLaNeuHb/73e8YPnw4u3bt8voyrU2bNixbtox+/fp5yv73f/+XBg0acPz4cU/bAwYMYM2aNV59rV+/njZt2rBhwwYmTJjg2X/9+vWMHTu2zp3D+io3+8ItxJENQjyJqsowxhAQEFDkd1d8LywsTD/nOkjnrW4JDb7w2jjRuavlQkND/R1CVewDupZWwRgTDFwFpNRIRCIiIiIiUmU+/fbTWnvQWvumtfYea21HoC1wN5AMZAC/Al4CdhhjjhhjVhpjHjTGdPFlHJVhjLkeWAUcAwZba3f7sPn8CYIjfdhmvZeQkMDkyZMB1wiFadOm0apVKyIjI+nduzcOh8NTNz09nVGjRtGqVSsiIiLo0qULf//738vd1/Dhw5k1axa33HJLsduttSxYsIAnn3ySm2++ma5du/LXv/6VH3/8kdWrV3vVHTt2LMuXL/daaHTp0qWMHTvWq97AgQNJSUnh8OHDnrL169czY8YMr2Pbs2cP+/btY/DgweU+Hqle2Zl5ntehEdUxUE1EpG4KDAAnrmnyTJ6my5Nq9T4Q657KtSQPAc2ANb7s2BgzxhizxBjzhTEm2xhjjTHjSqj7tHt7SY/YEvYbaoxZb4w5Y4w5bYxZZ4y5xpfHISIiIiJSG1XrN23u0QFvuh8YYwqOwBgE3Arc4t6Wbq31y/yy7mTFW7gW7htsrfX1CpG93c97fdxupf300v/hPJNTo30GNAzh0ofiK7Xvgw8+yK5du1i+fDkxMTG8/fbbDBs2jK+++opOnTqRlZVFjx49mD59OlFRUaxZs4a77rqLDh060KtXryrHvmfPHg4fPswvf/lLT9kll1xC79692bx5M3feeaenvEePHsTGxvLWW28xZswY0tLS2LBhA3/605949tlnPfV69+5NcHAw69atY/To0ezatYvMzEwSExOZPn06e/bsoV27dqxbt46wsDD69u1b5eOQqrMWzme5EhYBAYbg0MqPrhARqW8CAiDXQIhVwkKq3VxgHLDYGHMFsMJdHmmM6Y5rlPcUXDcOvezjvmcBl7nbPuR+XZZlFP9Z4GThAmPMGFzr4B3FdeMXwB3Av40xt1trV1Y4YhERERGROqJGbw221u4H/gr81RjTCtfoi6lANNCkJmPJZ4wZjitZcQJXsqLUIePuoeUdgPPW2tQC5T8D0qy15wrV/xnwvPvt//gy9qpwnskh73TNJiwqKy0tjaSkJNLS0oiJiQFg2rRpvP/++yQlJTFnzhxatWrFtGnTPPs89NBDfPDBB6xYscInCYv8URCXXnqpV/mll17qNUIi34QJE1i6dCljxowhOTmZESNG0KxZM686kZGRdO/enfXr1zN69GgcDgcDBgwgNDSUfv364XA4aNeuHQ6Hg759+9b1aRvqjewcCLCuL+FCIoIqtXaFiEh9lmcACwHOMquKVJq19pAxZiSuEdL/jWs0hQVucz8MrmTAr6y1x0poprLuAVKstfuMMTOA58qxT7K11lFWJWNMY1wj0o8B3fOnhzXGPA/8H/CKMeYDa+2ZSkcvIiIiIlKL1VjCwhhzKa6RFYPdj475m9zPPrsNzxhzDzDA/TZ/uql7jDEJ7tefWGtfcycT3gZCca2tMaqYLx/3WmuTC7xvBXyDa97c2ALldwJTjDEb3NvOAp2BEUAw8Jy1dkMVD81nAhqG1Jk+v/rqK/Ly8ujcubNXeXZ2Nk2auPJceXl5zJkzhxUrVnDw4EFycnLIzs4mIiKiynFXxpgxY5gxYwa7d+8mOTmZRYsWFVtvwIABvPvuuwA4HA4SEhIAGDRoEA6Hg/Hjx+NwOLj33ntrKnQpQ16O8cylZ4O1poiISGF57v9KBTg1wkKql7V2gzHmSuBhXP/nbo9rytv9wL+Audbag9XQ70e+brOAXwONgKcKrmVnrT1gjHkZeBrXCPW/VmMMIiIiIiJ+U20JC2NMU7wTFHH5mwpU+xZY5344fNj9AGBsobL+7ke+14AWuJIV4Eo4FGc9F4Zil2YdcDkQDwwEInDdGfUesNha+2F5Aq8plZ2ayR8yMjIIDAxk27ZtRRY3btCgAQBz585l4cKFLFiwgC5duhAZGcnkyZPJyfHNKJIWLVoA8NNPP9GyZUtP+U8//cTPf/7zIvWbNGnCDTfcQGJiIllZWQwfPpwzZ4reCDdw4EDmzZvHwYMHcTgcnlEigwYNYsmSJaSmprJ//36GDBnik+OQqnFaCHS6/oQ5gYYNaj7xJyJS2zkDDeRBkPIVUgOstT8BM9yP2uxqY0xvXP+FSAE+stZmFFMvwf1c3GeHD3AlLAZRgYSFMaZ1GVVa5L/IzMz0WodNROoX/X5LQboeJJ+uBSmoItdDdV07Pk1YGGNu5UKS4oqCm9zPP1AgQWGtLTqXjg9Ya8fhmtO2rHoOvBMo5Wl7b3H7WGvX40puiI/Fx8eTl5fHkSNHGDhwYLF1Nm3axM0338yYMWMAcDqdfP/991xxxRXF1q+odu3a0aJFC9auXetJUJw+fZrPPvuM+++/v9h9JkyYwIgRI5g+fXqRREu+Xr16ERISwuLFiz3rcAD07NmTo0ePsnTpUiIjI30yrZVUXU4OF0ZXBBkCAjQdlIhIYdb9hzLIuv49DgjQaDTxPWPM1cBha+33ZdTrBLSsBSOdZxZ6f9IY81trbeHEQyf3c3HT1KYUqlNe+8tbccOGDTRt2rSCzYvkq9EZp6USPvywpu6j1LVQF+h6kHw1dy2ArofaryLXw7Fjvp551cXXV8lKXFM75X+Lt5cLCYp11TEkW+q/zp07M3r0aO6++27mzZtHfHw8R48eZe3atXTt2pXrr7+eTp06sXLlSj799FMaN27M/Pnz+emnn8qdsMjIyOCHHy6stb5nzx62b99OdHQ0bdu2xRjD5MmTmTVrFp06daJdu3b87ne/IyYmhpEjRxbb5rBhwzh69ChRUVEl9hseHk6fPn146aWX6N+/vyexERIS4lUeHBxc/h+YVJu88xemgwqN0DkRESmODXQtYhGAITvHSXiYEhZSLRxAEpBYRr1HgQlA8XePVL8v3f07cC3Q3QK4AXgGSDbGnLTWvlOg/iXu51PFtHW6UB0RERERkXrH1wmLg8DHXEhQ7PNx+3KRSkpKYtasWUydOpWDBw/StGlT+vTpww033ADAk08+ye7duxk6dCgRERFMnDiRkSNHcupUcZ/1ivriiy8YPHiw5/2UKVMAGDt2LMnJyQA8+uijnD17lokTJ3Ly5EkGDBjA+++/T1hYWLFtGmPKdYdaQkICGzZs8KxfkW/QoEGsW7fOKy7xH2stge6J2S0QFaXpoEREitOhRQPSU93TIOZq5W2pVrV+qKO19u1CRXuBl40x3wD/BmYB7xTez8falLG9BbAV4Oqrr6Z167JmkBIpweaP/R2BlOG6666rmY50LdQJuh4kX41dC6DroQ6oyPVw4MCBsitVgk8TFtbasv4zLFJuDofD8zo4OJiZM2cyc2bh0fQu0dHRrF69utJ9JSQkYG3pk20bY3jmmWd45plnSqxTWhuNGjXybHc6L3yB89RTTxV7XE899RRPPfVUWaFLDTmTcd4zusIZaAgK1B3DIiLFaRARTLr7tTNXC1mI3zUGsvwdRGHW2rXGmFSgizEmylqbP3oi/26bS8Dzq5QvqlCd8vZV6idJYy7kfcLDwwkPD69I8yJSh+j3WwrS9SD5dC1IQRW5Hqrr2tHEYSIi5ZB59rxnLomQCP3pFBEpSVDIhYRu7vk8P0Yi9Y0xpm2hogbFlOULAq4ErgNSqzWwyjsGdAQiuDDdUwrwC1zrVBROWJS2voWIiIiISL3g60W3Y6qyv7X2R1/FIpIvLS2t1LUsdu3aRdu2JX3WFYG8PCfmvOsuYU0HJSJSusDgAgmLHE0JJT61F9c/xfl+5X6UxgBvVldAlWWMicSVUDmLK3GRbz0wCleiZUuh3YYWqCMiIiIiUi/5+jbhA3h/iKgIi0Z8SDWIiYlh+/btpW4XKc2pMzme6aByAyyBAbV+ymwREb85lZPref3T8UyatGrgx2iknknjwmeNtsA5vL/sLygH12eTt4BXqj+0oowxDYGW1trvC5WHA38BGgJJ1trcAptXAM8DDxljluZP52SMaQ08iOt4C6+LISIiIiJSb1RXgqAy3+bpG0CpFkFBQXTs2NHfYUgdFlDgDuHAEM3HLiJSmn2nswhzv95/7CxX0Myv8Uj9Ya2NzX9tjHEC/7TWTqjpOIwx9wAD3G+7uJ/vMcYkuF9/Yq19DWgCfGuM2Qp8AxwGLgV+CbQGvgIeKdi2tfaEMeZB4A3gP8aYf7g33eFu7w5r7ZnqOC4RERERkdqguhIWnwNLgb/rP9S1Q1kLSotI8Zx5TnKy3HOwGwj14WxQ+b+XBRe7FBGp64IKTAmVlZVbSk2RKhkP/OCnvgcAYwuV9Xc/8r0GHAcWA72AEbgWAM/ElbxYBLxsrc0s3Li19k1jzDHgcVzHaYFtwCxr7Ue+PRQRERERkdrF1wmLO4AJwLVAT2C+MeYt4HVr7QYf9yXlEBwcTG5uLnl5eZw8eZJGjRr5OySROiU7MxfciYWAYIuvcgsnT54kL8+VCAkK0mx4IlJ/BIcEeObsyc7UottSPay1y/zY9zhgXDnqncY1jVNl+ngfeL8y+4qIiIiI1GU+/ZbMWvtP4J/uOVbH4/qP/F3AGGPMbiAJWGatPejLfqVkkZGRZGa6btw6dOgQR44c0d3ctURuruuu06NHj/o5EilNbk4ezjz3SIhAMAFVP2fWWk+yAly/pyIi9UVQSCDn3a+zszXCQqqXMaYDMAnoBzQD/tda+6h7W2+gG/APa+0p/0UpIiIiIiLlVS239boXh3sWeNYYMwTXqItbgFnATGPMv3FNGfW/1trzJbckVdW0aVPy8vI4ceIEgNeXpOI/1lpPIik8PFxJpFoqN9dJ5qkcAEygISDE9fvjy3PWuHFjmjZt6pO2RERqg5DQCwmLnGz9v0OqjzFmHK4FtUPdRRYo+I9qhHt7DpBck7GJiIiIiEjlVPs8JNbaj4GPjTFRwGhcyYthwFBgN9CpumO4mBljuPTSSwkMDOTs2bPk5uZqPYtawOl0ehIWDRo0ICAgoIw9xB9+PHQae8r1tZttEEh4eDZQ9XNmjCEoKIjIyEiaNm2qhJWI1CuhoYGcdb8+r4SFVBNjTB/gL8A54HfAeuCzQtXWA6eAG1HCQkRERESkTqixidPdc7i+Yoz5AHgR1weHS2qq/4uZMYZmzZrRrFkzf4cibpmZmXz77bcA9OjRg/DwcD9HJMX555/WcUmWK8HX+77OHNy3DdA5ExEpTUhooOf1+RwlLKTaPAoY4Hpr7SdAkRsArLVOY8x24Ioaj05ERERERCqlRm7rNsaEGWPuMsasA77Hlaw4DfytJvoXEamoHbuOepIVp8IMV8Y18XNEIiJ1Q1jYhYRFbo7Tj5FIPdcf+Dw/WVGKw0DLGohHRERERER8oFpHWLgXupsA3AE0dBdvwLV+xUprbWZ19i8iUlmOf+8l/yu36Csa+TMUEZE6xSthcV4jLKTaNALSylEvHAip3lBERERERMRXfJ6wMMY0A+4GxgOX4xqqfQB4CUiy1u72dZ8iIr7kdDo598MZGgIWy7DhHfwdkohInREZEex5HWa0RpNUm3TgsnLU64hrlIWIiIiIiNQBPk1YGGPeBka42z0PvIVrNMUHVis9i0gd8enWQzR0rbXNqYaBxLaJ8iySLiIipWt3aQO2uV/HNW3g11ikXtsC3GiMudJa+3VxFYwx/YErgTdrNDIREREREak0X4+wuBmwwBe4PhikA9HAqMKL4BXHWvs/Po5HRKTCtqzbT/6S2q1/3tSvsYiI1DVBwRdGVeRq0W2pPn8CRgJvGWPutNZuL7jRGHM5rhunLLC4xqMTEREREZFKqa41LH7hflSUEhYi4lfnc53YtLOAIRfLCE0HJSJSIUEhBRIW57XotlQPa+1aY8x8YAqwzRiTiis5MdQYswO4AggA/mit3eLHUEVEREREpAJ8nbDYgOuDgohIneTYsJ8Ip2tE2NkmwTSLDi9jDxERKcgrYaERFlKNrLXTjDHfAU/jWqsCoKX7cQyYaa39k5/CExERERGRSvBpwsJam+DL9kREalrA/rOe11f1jfFjJCIidVNAYADWgLGw78jZsncQqQJr7V+MMa8B8UB7XKMq9gNbrbW5fg1OREREREQqrLqmhBIRqXNyc/JI/b+jAISEBTJiaDs/RyQiUjflYAnFkJWl74ul+llrLfAf90NEREREROqwgLKriIhcHPZ+lc75LNf0Je27NycoONDPEYmI1E15rpn1CNCMUCIiIiIiIlIBPh1hYYyJsdb+WFvaERGpiO8/P+x53bnXpTXWr7UW59nzWgGoGjizzhOU4/rm1JlxnrxcJaHqAp23uif/nDkDXX/InAEGnBBo9YdNqpcxpjWQAMQAYSVUs9baZ2ssKBERERERqTRfTwmVYox5CXjeWnuiojsbY6KBGcB/AZE+jk1EpERHjp0jdccxAoCwhsG06ty42vu01pL1zXFOvb+H3COZ1d7fxaobrnN5YtuXfo5EKkLnre7pRmOcAZbsy07gdI/hDXT6Nyapv4wxgcAiYCIXRo2bQtWsu8wCSliIiIiIiNQBvk5YfAg8CjxkjHkbWAZssNZml7SDMSYU111R44Cbcd0ZtdrHcYmIlOpf76cS4L4R+ETTYAICCn/n4Vs5BzM4tWY32btPVWs/IiI1KcBpyP6/o9hA13fEwYDT6SQgQLOQis89CdwP5AL/D0gBzvg1IhERERERqTKfJiystbcYY34JvAj8BhgFnDfGbAe+AdKB00AU0AS4AugGBOO6+2knMMVa+5Ev4xIRKcuB7ek0cr/uO7hNtfWTeyqb0x/s5dz/HfGaAiq4VQMCLwmttn4vVnnOPI78dASA5pc2JzBAUwvVBTpvdU+eM4/z354EwGbleRIWBsO5rDwaRChhIT43DsgEBlprtdi2iIiIiEg94esRFriTDV2MMdcCDwLXAb3cD7gwNDtfNvAu8LISFSLiD3vSTnFJRh5gOBMMfX/R0ud9OLNzObP+ABkbD2LPX5gjJbBJGJcMa0f4VU0wpnpHdVyMMjMz2fLhbgA6XteP8PBwP0ck5aHzVvdkZmZy5NmtBDoNNjsPgi78Pcs4m0ODiGA/Rif1VAvAoWSFiIiIiEj94vOERT5r7b+Bf7unfOoPxAOXApcAJ4EjwH+AT0ubMkpEpLp98K/dGHceNaJTlE+nLrF5lrPbDnP6w304M857yk14EFFD2tKgb0tMkO48FpG6Ly/QuhMWTkzghYTF2XPnS9lLpNJ+RFNAiYiIiIjUO9WWsMjnTkZ87H6IiNQ6x785wSXu10Oua+ezdrO+O87J9/aQ+9O5C4WBhgZ9Y4ga0oYA3XEsIvWIM9DCebDZeQQUSMSeU8JCqsfbwBhjTKhufhIRERERqT+qPWEhIlKbbf/6KJdkuV6fCjdc9bMmVW7TWsuJt1I498VPXuXhVzXhkmHtCGqq6W1EpP7JC3ItzGOz82h+aTiZP+UAEGo0ikyqxTPADcByY8y91tpj/g5IRERERESqrt4mLIwxY4CBQA+gCxACjLfWJpdQPwp4GvgVrjlxDwH/BGZaazMq2PdQ4HGgO641O7YBs6y1aytzLCJSfdb/e6/nD2GTKxr7pM3s3ae8khUhbRpyyfXtCI29pJS9RETqtrxA63kd17Ih2787DUDD4Hr7303xI2vtaWNMX8ABpBpjtgFpgLP46jaxJuMTEREREZHKqc+fIGcBlwHHcCUfLiupojEmElgP/Bz4EPg7rjU3pgGDjDFXW2uzytOpO1HyBnAUSHYX34FrPY/brbUrK3MwIuJ7TqeTzB/O0BBwYhk2vL1P2j3j2O95fcmIdjQY2EoLaotIvVcwYREccOFvXm5Onj/CkXrOvU5eMnAVYICEUqpbQAkLEREREZE6oD4nLO4BUqy1+4wxM4DnSqn7KK5kxfPW2hn5hcaYPwDTgYfL2D+/fmPgJVxJku7W2gPu8ueB/wNeMcZ8YK3VAoEitcC2Lw7TMNf1+nRUIJe1jqpymzkHzpCdchKAwOgwGvRXskJELg5KWEgNmwncCJzAdbNQClChUdEiIiIiIlL71NuEhbX2o/LUM65vEu/B9QHn2UKbnwX+y729zIQF8GugEfBUfrLCHcsBY8zLuKacugX4a3liE5HqdfLrE57XXQe28kmbZ9Z7fvVpOKg1JlDJChG5OBRMWIQUSFhkZ+X6Ixyp/0YBJ4GfW2v3l1FXRERERETqiHqbsKiATkAM8IG19mzBDdbas8aYTcBQY0ybcnwYSnA/f1jMtg9wJSwGUYGEhTGmdRlVWuS/yM7OJjMzs7xNix9lZWUV+1pqTva5XFL/cwSA0IggEgbFlPr7U55zlpeeReZXrjU/TYNgAq6I0u+kn+l3rW7Seat7srKycBZIWKQcOul5/em3R7isa6OaD0rKlJ2d7e8QqqI58KGSFSIiIiIi9YsSFq6EBbiGkRcnBRjqrlfWB6LS2kopVKe8yv0h7LPPPiM1NbWCzYu/bdiwwd8hXJQy9gWTdz4MgOBm5/h4XbkGZQEln7O2qRH/n737Do+jOvs+/j1btOqS5d67MZhiMGDAYGwMpvcWAiGQQAjpkOSBJ6SRSvKGJE8aaQQSSui9GgzYYMAFF4wB29i4V8lWX2097x+zWq2adyXtaiX797kuXdqZOWfmXma8aOeec2764+xzc1kVS15LfZ+Sefq31jvpvPUeAz258de1e/bQ+Gfm5k3bmDNnQ3aCkn0qLy/Pdghd0V6BbelGo259PtshSAo23HF2tkMQERERSZkrkzs3xkw3xkzL5DHSoCT2u6qd7dUt2nV2Xx3Zj4hkkLVQs9kbXy4YHuryPr0BQ9/dPgDC7ii7B+qpcBE5sCROCeVLmA0vqhIWkhkPAjOMMaXZDkRERERERNIn0yMs3oj9nJLh4+zPhifZPghYDDB16lTGjh2b+YikyxoaGuJPDU+fPp3c3NwkPSSdFi3bxdYaZzRS4eA8zr74+KR9kp2zujmbabA7ASg6fginzjo2zVFLZ+jfWu+k89b7NDQ0sPKJd+PLQ/v3Z9cWp05QaUkZs2cfnq3QZB96+cjcX+JMx/qCMeaL1tqPshyPiIiIiIikQaYTFnuBbRk+Rlc1joZob+RDcYt2qe6rogv7iUss3t0Wp2a4w+fzkZeX15HdSw+Qm5ur89bNFr6+lYLY6+iYwg7/9295zqL1Ifa8t9tZ8LgonTESd15OmqKVdNG/td5J5633SBxhked2x1/bCDqHPZTP58t2CF3xEuAFjgNWGmM20f40UdZaO6s7gxMRERERkc7JdMJiOR2v2dDdktWWSFbjouW+jo71aZmw6Mh+RCRDamqDeLb4AUPIWC44r+sfUbXvbMcGnfsjBccMxF2oZIWIHHgSExaJn4KRkMoMSEbMSHjtAkbFftpi21kvIiIiIiI9TKYTFn8AnjTGnG2t7akV2dbijAKZZowpsNbWNW4wxhQA04BPrbWpFL+eB1wBzAbebbHt9IQ2IpIlTz/7CT7rjEwKDM6lT0nXppqJBiPULtjqLLig6KRhXQ1RRKRXapawSLg9HAkqYSEZMTPbAYiIiIiISPplOmGxDPgTTtLiXuBxYAPgb6uxtXZThuNp65jWGPNP4IfAD4BbEzb/ACgEfpHYxxiTD4wA6lvE/AjwK+Drxph/NU7nZIwZBnwNKAeezNR7EZHkNi7ZRWns9dRZI7u8v7rFO4jWhwHIP2IAnjLNtS8iB6aopylL4bVNr21YCQtJP2utHgISEREREdkPZTph8WnstwG+GPtpj01nPMaY64ATY4uHxX5fZ4yZEXv9lrX2n7HXvwbOB24xxhwJLAWOwhkpsRj4fYvdHwu8jjNaonF/WGv3GmO+BtwHLDXGPBzbdDnQF7jcWluThrcnIp2w4sPdlNY5N86qc2D68UO6tD8bjlI7f2t8uehkja4QkQNX4ggLd6TpdTSs2XhEREREREQkNZlOWGwme3PGngh8vsW6abGfRv8EsNbWGWNOBn4MXIwzxHw7cCdwu7W2zREhbbHW3m+MKQe+B1yL8/7fA35mrX21c29FRNJh7vPraSwv2ufQPrhcri7tr375biJVAQByDy7DO6ggSQ8Rkf1Xs4RFYpJCIyxEREREREQkRRlNWFhrR2Vy/0mOfQ1wTQfaVwE3xX6StX0DZ9RIe9tfAl5K9dgiknn+hjDRT2sBQwTLRedP6NL+bNRSM6+ptE3RjOFdjFBEpJczEHFZ3FGDK6HQ9oiSvCwGJfs7Y8zRwCXAQUAxbf+Nbq21s7o1MBERERER6ZRMj7AQEekRnn95HXlR5x5Gbb8cBg/s2miIhg8rCO92Bl/ljC7GN7K4yzGKiPR2UbeTsLDBCC6PIRq25Jh2n/EQ6RJjzG9wHjZqvMgszRMWjcual0xEREREpJfo2nwoIiK9RPWqyvjrI6YP7dK+rLVUz9sSXy7W6AoREaBpWqhoQxhvjhuAcFBTQkn6GWMuBW4GtgI3AHNim04Hvga8g5OsuAM4JRsxioiIiIhIx3VLwsIYc5Ix5hFjzBZjTMAYc3fCttOMMb8wxgzqjlhE5MBTs6eBhs11AOQUeznjlFFd2l94Qw2hzTUAeAcX4JvQp6shiojsFxoTFjYQweN1HnQPByPZDEn2X18CIsAsa+0/cOrPYa19xVr7F2vtNODnOEmNquyFKSIiIiIiHZHxhIUx5vvAGzhzyw4BvDQfql0F3AJclOlYROTA9PE727GxySAmnzwMt6drH33+t3bEXxfNGI7RdCciIgBEPLEPWwvEPhvr/eHsBST7syOBhdbatfto8yOcRMb3uyckERERERHpqowmLIwxZwI/wRmqfRkwsGUba+0iYDdwTiZjEZEDk41aPlqw3VkwMPH4wV3aX36tm9D6agDcfXPJO7RfV0MUEdlvNI6wANjrDwIQbFDCQjKiCNiUsBwEMMYUNq6w1kaBhcC07g1NREREREQ6K9NFt78JBIAzrbWrgPaeRF4BjM9wLCJyAFr47jZq9jQAMOKQMorKcru0v0Fb8+Kvi6YPw7g1ukJEpFFiwsLjdmodezBEwtEuj24TaWE3UJqwXB77PQr4IGF9AVDcPSGJiIiIiEhXZfqb4zHAosZkxT7sBlTDQkTS7rUX18dfD5rctdEQPr+L0j1eAFxFXgqOajVoTETkgJaYsMhJSOjWNYSyEY7s3zYAIxOWl+FMO/vZxhWxGnknAxu7NTIREREREem0TCcsCoAdSVtBSTfEIiIHmO076yjc7UxJ4ndZDj2ma3nRQdtyMbESPEUnDsN49bElIpIo2k7CorZOCQtJu7nARGPMqNjyi8Ae4BZjzKPGmDtxpoMqAB7PTogiIiIiItJRmZ4SaicwLoV2BwGbMxyLiBxgnn56De5YgsE1upC83M5/5EWqApTt9gFgct0UTNWgMBGRlhJHWHjdLiACQG29EhaSdg8BQ4DhwAZrbZ0x5trY+osT2r0H/DIL8YmIiIiISCdkOmHxFvAZY8w0a+2CthoYY87BSWr8LcOxiMgBJBqNsveDvfFJq085a0yX9ud/awcu6yQ/co8ZgKsLyQ8Rkf1VxJMwwsLVNMKivl6FtyW9rLUfAde3WPesMWY8cC5QBnwEPGutjWQhRBERERER6YRM33G7E7gceMIYcwPwXOJGY8wZwD+BEPDHDMciIgeQN9/dRrEzGxSVBYbJk/p3el/hqgCBZU4tz4jLknucaleIiLQlcYSFLyFh4fcrYSHdw1q7DT0IJSIiIiLSa2V0AnZr7VLg20A/nLljKwELXGyMqQSeBwYA37bWfpjJWETkwPLuq031NUccPaBL+6qdtwUizk24XYMbcOVrdIWISFvaT1hoSigRERERERFJLuMVY621/wecBSwG8gADFAHFwErgPGvtnzIdh4gcOPZWNeDb3gBA0FjOOyeVUjpti1QHqF203Xntsuwc3JCWGEVE9keJCYuchL8yNcJCREREREREUtEtjwlba18GXjbG9AVG4yRKNltrt3fH8UXkwPL0M2vxxupNhIbmUVLk6/S+auZtgbBzA273oAYiXpukh4jIgSuamLAwTSMsQkGVEJCuMcZEcEZqH2KtXRNbTpW11mp4pIiIiIhIL9Ctf7hbayuAiu48pogceLYtLack9nra7JGd3k+kJkjtwh3OgsfFziEaXSEisi+JIywGFeSwAj8AhwwoylZIsv8wsZ/E5Y70FRERERGRXiCjCQtjzDXAq9baLZk8johIox2fVlHid26YVfng+KMHd3pfNfO3QDgKQO7R/Qmb8rTEKCKyv0pMWLijTevDwWgbrUVSZ6117WtZRERERET2D5n+Q/9fwEZjzMfGmD8ZYy4wxhRn+JgicgB7/7Wm/OhZF47H5ercx1ykNkjdu7FZ6zwu8qYNSkd4IiL7tcSEhSvalKTQlFAiIiIiIiKSikxPCXUvcAowIfZzIxA1xrwHvBr7WWCtDWU4DhE5ANTuDbDuvV0A5BZ4OfSEIZ3eV82bW7Eh52Zb4dRBuAq9aYlRRGS/5gK8LghFMeGm5EVYCQsRERERERFJQUYTFtbaLwAYY8YDpwKnATOAY2M//wv4jTFvAa9Ya+/MZDwisn/7YN4WolHnBtmk6UPw5Lg7tZ9IXYi6d7Y5Cx5D0cnDCKLpTEREUmF8bmwoik1IUqzeWs2ULMYk+x9jjAs4GpgE9MUpyL0HWAm8Z621++guIiIiIiI9VLcU3bbWrgXWAncZYwzOl4tTYz/TgNmx10pYiEin1NYFWfjqJjyAy2U47ORhnd/XW1uxsfnWC44ZhLvYB35/miIVEdm/GZ8LWwuEmhK92yvqsxeQ7FeMMV7gf4CbgD7tNKswxtwJ3GmtDXdbcCIiIiIi0mXdkrBowQsUxX6KE2IwWYhFRPYTjz2xGk9s+hH/IB8Fpb5O7SdaH6L27djoCrehaMbwdIUoInJAMD5ndJsr3JSwiIQ0Sk26zhhTADwPnETTd4cgzsgKF1AK5AD9gF8ApxljzrXW6qkDEREREZFeolsSFsaYyTjTQZ0KnAjk4nzJqMb50tFYz0JEpMOi0SjbF++mOLY89YyRnd5XzVtbsQFnGpOCowfiKelc4kNE5EDVmLAwgBuIANGQZueRtPgNMB1oAP4I3A980Dj9U2yaqEOBzwFfBWYC/w/4WlaiFRERERGRDnNlcufGmIeMMbuA94Bf4dSvWAL8GGcqqL7W2vOttX+01n6UyVhEZP/18tyNFAed15X5hmnHDu3UfqL1IWoXJIyumKnRFSIiHdWYsADwxp6Bj0Y0wkK6xhgzAvgSzgNP06y1t1hrVybWqrDWRq2171trv4vzkFQtcIMxpvPzRLYdy1XGmL8ZY5YYYwLGGGuMuWYf7YuNMb81xmyMtd9gjPl/xpjCdtq7jDFfN8asNMb4jTG7jTH/NcaMSef7EBERERHpiTKasAAuwymC9z5wEdDHWnuytfan1tp3rLWRfXcXEUlu6dxN8dcTThrS6f3Uvr2taXTFlIF4SnO7HJuIyIHGlZCw8DRO2qMpoaTrroz9vtVauyxZY2vtUuBWnIE+VyZp3lE/w0mejAS276thbBqreTg1Nz4GfgesBr4DvGaMaeuPjb8Bf8AZqPQH4CWc71KLjTHj0/QeRERERER6pEwnLGpw/tA+AngAeMIY821jzBEZPq6IHCBWfrSb0konyVDnhvPPHtup/UQbwtS8FRtd4VLtChGRzjLNEhZOxsJGNCWUdNnxOFNB3dOBPvfE+pyQ5liuA0ZZa/sDf03S9n+AycCvrLWnW2tvtdaejjP6/BicREacMWZmbP/zgaNiI0k+B1wAlAF/SucbERERERHpaTKdsCjDmfrpRzhTQTXOI7vUGLPTGPOgMebadA/TFpEDx0tPfhJ/XXRYKTk5nSvNU7tgG7YhDED+UQPwlGl0hYhIZ7Q1JRRKWEjXTQKWWWsDqXaw1jYAS3HqWqSNtfZVa+3GZO2MMQYn+VAL/LTF5p/G1l/XYv31sd8/sNYGE475IvAGMDs2PZaIiIiIyH4po0W3Y1M+vRP7+akxJh+njsWpwCzg8tgPxpg11tqDMxmPiOxfdpXX491UDxhCWD57ycRO7ScaCFPz1lZnwQXFql0hItJpxpfwPIxxEhVGCQvpujKc5ENHbcNJdmTDeGAI8LK1ti5xg7W2zhizADjdGDPcWrs5tmkGUAcsaGN/L8e2nwzcl2oQKTwcNqjxhd/vx+/3p7pr6SV0TqWRrgVJpOtBGulakEQduR4yde1kNGHRkrW2HngBeCE2LdSVwNeAXGBCd8YiIr3f449/jBfn8d3giHwG9Mvv1H5q396O9cdGV0wegKdvXtpiFBE50CSOsHC7DGBxqYSFdF0RznSzHVUHtFncuhs01ptY2872tcDpsXabY/UuBgMftFPrr3E/Ha1jsTl5E8f8+fPp169fB3bdrV8npZPmzJnTTUfS9dDT6VqQRLoepFH3XQug66Hn68j1UF5enpEYuu0qiT3ZcxpNoyv6N24CQjijMEREUhKNRAl+VB3/EDv9gnGd208gQu2bW5wFA0UaXSEi0iWJCQuf20lY5LsyPQupHAC6chFl6wIsif2uamd7dYt2HW0vIiIiIrLfyWjCwhhzAU6C4lSangRyvrnCB8CrsZ95sdEXIiIp+XRFOZ4G55Fd15A8jjikf5Iebat7dzvR+tjoiiP64+3fuVEaIiLiSExYlOR5oT5AvlsJC0mLwk7Ub8jW6IqeJNnTGIOAxQDTp09n2LAOlBd857XORyXdZvbs2d1zIF0PPZ6uBUmk60Eaddu1ALoeeoGOXA9btmzJSAyZHmHxRMLrzTQlKOZaa3dl+Ngish9b8VrT7AbnXHJQp/YRDUSomZ8wuuIU1bAUEemqxIRFjsuZti8UbGt2G5EOuzj201s0jpRob0REcYt2HW2fEmvtPr9JOrXBHXl5eeTlaWrM/Y3OqTTStSCJdD1II10Lkqgj10Omrp1MJyyeAl4BXrXWtjd3q4hIh+zaWM32T5zv6n0GFzDs4D6d2k/tgq1E60IA5B3eH+8Aja4QEemqxISFJ5awiIYt0UgUl0ZaSNeY5E3alK2q78lqTjSrcRErxL0dGG2McbdRxyJZTQwRERERkV4vowkLa+1Fmdx/uhhjrgHuSdLsNWvtrCT7mQG8vo8m11pr7+1IbCLS2vzn1sdfH3HKsGZPBqYqWh9qGl3hguJTNbpCRCQdEhMW3oSP53AoSo4SFtJ5o7MdQCesBbYB04wxBdbausYNsQLb04BPrbWJRbHnAZ+JbZvfYn+nx363XC8iIiIist9QaXbHcuD2drZdAkwCXu7A/uYBb7RzHBHpgo2bq9m2sgI3BuNzMWHqoE7tp2b+VmyD8+Bi/lEDVbtCRCRNEhMWgWA4/nrXXj/DBhdlIyTZD1hrN2Y7ho6y1lpjzD+BHwI/AG5N2PwDnPoav2jR7e84CYufGmNOs9YGAYwxZwIzgDm98b+FiIiIiEiquiVhYYw5GPgmMBMYGlu9FXgN+IO19qPuiKM91trltJFMMMbkAF8DwsC/O7DLN6y1P05HbCLS3FOPrcYTmxEiODIfb447SY/WIjVBahdsdRbcJvujK/ZugA0LwEZbbyscABNOb77u4+ehfk/y/Q4+AgYf3rQcaoCVj6YW00FnQUHfpuU9650Yk/H44PDLmq/b8JbTP5k+o2H0Sc3Xvf8IhBuS9x05DfqObVqu3wMfP4c7GGJExSoA3CvKIcfbuu9hl4I3Yd7FHSth27Lkx8zrAwef23zdmjlQuyN534GTYOiUpuVoFJbfn9BgH6OGxp0KxYOblis3w/o3kh/TGDjyqubrNi+C3auT9y0ZCmNPab5u1VMQqEned9gxMGBi03JDNXz49D67uENBRlSsYlvpMc037F7txJyMrxAmXdh83brXoSqFgmD9JsCIqc3XLX8QoinUYBhzMpQmfJ7U7IS1c5L3AzjiCnAn/Fm2bRns+CB5vx7yGWH2bmBExTwCnmKMZ0Z8vTthIp7a2BR8Ir2dMeY64MTY4mGx39fFRlsDvGWt/Wfs9a+B84FbjDFHAkuBo4DZOIWuf5+4b2vt67Ekx3XAUmPM88Bg4HJgD/D1DLwlEREREZEeI+MJi9h0S38FvDS/AzM+9nOtMeYGa21HEgLd5QKgL/CUtXZnlmMROeDV1ocIra3GgyGC5byLO1dsu+b1zdiQkxwonDoYT2luOsPsmN1r4J+nQqCd+pkjTmh9M3Ler2H78uT7PuX7zW9GBuvgma+lFtf1rzdPWGxZklrfvLLWCYul98H7DyXve9ilrRMWL38P6nYn73vBX5snLKq2wDNfJwc4snHdpnb6TjijecLik1fh1R8nP+bAw1onLN7+A2x4M3nfad9snrCwEXgmxXtQVz/TPGGxc1Vq58blaZ2weP8RWPyP5H3Hn946YTH39tQSUWf+v+YJi/qKpPE2nreKghb/xje8Cc9/O/kxS0e2Tlgs+gesfj5536O/0Dph8dxNqSXOLn+gecKi4pPU/80ddknzhMVHz8Kbdybv10M+I1zb3uPITXcDEFoIxnsaNhQlMUVY7w8jsp84Efh8i3XTYj+N/gnxuhQnAz/GKRg+E9gO3Ancbq31t7H/G4CVwJdwHvqqBZ4EbrPWrkvf2xARERER6XkymrAwxkwB/gG4geeAu4HGP7LHAF8EzgX+YYxZZa1dksl4OuG62O9/7rNVa+ONMd8C8oAtOPUvtnYmAGPMsCRN4vPhBAIB/P62vvNIT9PQ0NDma9m3Rx5dQ17UyXvW9vcyeEBOh6/5SGWA2oXbnQWvC+/x/VPaR0bOWUMVvv9+Bld7yQogEo0SbBGfz0ZJZRb4UChMOLFvg5+89ps3Dy0QwCb0dQeD5KTQzwINLeL1RsIp/c8mHIkQatE319qUKqwGQ0EiCX1NIECqaSh/QwO4m/p6QiHaGIfRStRGCbSINycaJZUxP6Fwi3MTCaV8bgLBINGEvq5gAF8K/bpybiLRSBvXoU3pOuzKuYHm/97coVBK12HU2jbOTSSlcxMOh1tfh6RW6bez5wZwPocS7ud7wuGUrsOe8hkR9dc2nZuNb0PO6dAiYVFZWa+/U3qYQCCQ7RB6JWvtNcA1HWhfBdwU+0mlfRT4Q+xHREREROSAkukRFt8FXMAXrbUti1p/ADwTG4HxL+DbwBUZjidlxpiRwCychMNLHez+2dhPo7Ax5o/Ad621Kcwp0czm5E0cCxcuZN06PXTV28yfr7qJqYhGYdviAvrEbsMVDqlizpwUp1pJMPKTAvpFnFuI2wfU8d7br3d4H2k5ZzbKcet/y8Bq599sde4w1vc/rVWzBm8pO1u8z8F5M8gZPqVV25Yqd+VTldDXFQ0yfPi1KYW3feknBL274ssFgXr6pdA3arxsbhFv38B4CoZ/IWnf+uAAylv0Hdb/YlzR5NPIVKxvoG5bU19vuIYhKb7XLW++S8TVdFu5uD6PPin0DXoK2d4i3oGeqeQOn5C0b/XefuxN7GujjEwx3p0rt9CwuqlvXrCcASn0tRg2tYi3rHYoRSn09dOXXS36Dik5E29h8pvPe7YYaiqa+noifoam+F4D3uJm/96K/JayFPqG3XlsbRFv/+hh5A8f3E6PJjV1Q9jTou+IIVdi2pqyrYVdq/fg39DU1xeqZFCK73XTa29gTVNKpbSuDyUp9O05nxEuTo299ldsxR8JkIsbj22aE2r58g+o2bMipf1L9ygvL892CCIiIiIiIs1kOmFxErC8jWRFnLX2XmPM14DpGY6lo67FSbbc24Ekw26cYnrPARuAAuB44A6cJ6osTmJGRDpo/RYPfcJOsqI8J8LkIclvHrbk87vou9t5BjjsjrJzSPZGt7hsmKC7AICgu4CFY26i3tc/pb7bS4/u1DGjrhw29pvZqb51voHU+QZ2qm9F0cFUFB3cqb5byqYlb9SGkKeo0++1On8E1fmdq2uys2Ryp/phXJ2O15/Tr9N99xROYE9h8gRLW7b1Oa5T/cLuvE7HW5M3lJq8ockbtmF38WHJG7VjU9+TO9Uv4C3t9HutLBhDZcGYTvXN1mdEvbeM/NAecsI1RGLFKxJHxETCqYxTERERERERkQNZphMW/YBUHl/+mKaCdVlnjHHhJCwszuiPlFhrVwGrElbVAU8bYxYC7wPfMMb8ylq7q80dtG14ku2DcAr2MXXqVMaOHZukufQEDQ0N8aeGp0+fTm5uFmso9BIf3L6QXJwkxbgTBzN7dsev9ZrH1hFkLwBFJw9n1knHptw3I+fMnk1o0V+wg47gxJEnJm8vHaZ/a72Tzlvv09DQQPDjIvJDe/BF6ygZ0IdwXQ0uDG4gAgwfPorZszuXhJHM0MhcERERERHpaTKdsKgEUnlMdQTQ/iTu3e9UnJjmWms/7erOrLU7jDFP49TEmAo824G+W/a13ZimpxV9Ph95eanOPi09RW5urs5bEouX76C00klW1Lkt110wEV9Oxz6+gttqCa5ykhWuQi99Th6Jy5fKjPatpfWczfhOevYjSenfWu+k89Z71HgKATDRMJ5cEy/J4TEQsRCOGJ3LHsbnS7XKioiIiIiISPdIpSZjVywGTjDGnNJeg9i2acDCDMfSEZ0ttr0vjZMEF6RxnyIHhFcfXxt/XXpk3w4nKwCq52yMvy6aMbzTyYouqd0Ne9Z3/3FFRLpB0F0Uf+1yN9We8caerQgGOlrGS6R9xpgfGmNSKmItIiIiIiK9R6YTFn+MHeNZY8yvjTGTjDH5sZ9DjTG/oWm0wR8zHEtKjDF9gfOBPcCTadz11NjvDWncp8h+b++OOorLnRtffpflis8c0uF9BDZW0/DxHgDcJTkUTk1eeDftwkF45Gr4+0xY91r3H19EJMOCsREWAMbVlLDwxEaDBgPhVn1EuuCHQOcKzIiIiIiISI+V0YSFtfZl4OdAHk6x6feBmtjPCpxC1HnAz6y1czIZSwd8DqdG5P3W2kBbDYwx/YwxE40x/Vqsn9JO+28CM4G1xOpNiEhq3ntxo1NNBph+7hiKCnP23aEFay3VL2+ILxfPGonxZjpX24YX/wc2vQ0NlfD01yGUvYLfIiKZEPQkjLAw/vhrT2yExaiS/O4OSfZvuwB/0lYiIiIiItKrZLqGBdbaHxhjFgDfAU4AGitnBoC3gDuttS9lOo4O+GLs976mg/oa8CPgduDHCesfN8aEgCXAFpzpn44DjsSp53GVtVbzIYikqGp3PWsW7wTAV+Bh8sxkNehbC3xSSWC9UyLH0y+P/CkD0hpjShbfDe/d47x2++Cy/4BXRYRFZP9SmT+aTWUnMXjcoZhoCVAPNE0JVerL+J+dcmB5Ezg220GIiIiIiEh6dcs3x1hC4iVjjBvoG1td0dNu3htjjgUOBRZZa1d2Yhd3AacD03HeZxTYCPweJzGzzwLaItLcey9uxEad4RWTZw0nJ7djH1nWWqoSalcUnzoC4+7m0RUbFjijKxqd+38wrM3BWCIivdrOksnsLJlM/5mzca2oBD4BmkZYhIPRrMUm+6WfAEuMMT8DfmCttdkOSEREREREui4jCQtjzDjgImAUzkiK5cAj1lo/zvDtHslauwgwKbT7Mc1HVjSu/xXwq7QHJnIAWruhklVvb8cFeHPdHDZjWIf30fDhHkKbawDwDson7/D+aY4yicpNTt2KaGze9uO/BpOv6N4YRESywJXrjr/2YgBLONijnlOR3m8K8B/gf4GLjTFP4dSKa3OaKGvtf7otMhERERER6bS0JyyMMd8Cfg24W2z6qTHmLGvtB+k+pojsf5588CMKYq+Dowvw5Xs71N9GLVVzNsSXi2ePwriS5iPTJ1gPD30W6sud5TEz4dTbu+/4IiJZZHxNfwY2jrCoqg1mKRrZT92LU+XKAAcB/7PP1k5yQ0REREREeri0JiyMMScCd+J8cagDVgPFwBhgGE6Nh4OttZoTQETatWFzNb5N9YAhaCxXXHFwh/fhf3834Z3O/Ok5w4vIPbgszVHug7XwzNdhR2xmuT6j4ZJ/gVvzt4vIASAaweUKxRcbExarNlVyfpZCkv3Sf3ASFiIiIiIish9J992zr+EkK/4NfM1aWwdgjDkceBwYB5wBvJDm44rIfuSxBz8kLzY7mx1byKABBUl6NGcjUapeSahdcfoojOnG0RWb3oUPHnNe5xTCFf+F/G5MmIiIZIGJhjn9g2+Qs6yO0MALgC8CTUW3bVj3liV9rLXXZDsGERERERFJv3RXnz0e2ALc0JisALDWvg98EyeZcVyajyki+5Et22vwfOp8fISwXHblIR3eR917O4lUNADgG1dK7rjSdIaY3Ijj4NJ/Q8EAp8j2gI6PEBER6W2sy4PbhjBYXMGd8fWexoRxRAkLERERERER2bd0j7AYCLxgrW1rkuK3Yr8HpPmYIrIfeeSBj/DFRleERxUwbHBRh/pHAxGqX90UXy6ePTKt8aXEGJh0AYyb5YywEBE5QAQ9RXiCAUzDtvi6ximhjBIWkkHGGUrZN7a4R1PQioiIiIj0TukeYZEDVLa1wVpbndBGRKSVHbvqMOtqAAhjueTKjo9MqHljM9FqJ2eae3AZvhHFaY2xQ3xFTvJCROQAEXQ7SVqXf3t8nRIWkknGmFnGmJeAWmBn7KfGGPOiMWZWdqMTEREREZGOSnfCQkSk0x5+8ENyrHNnKzA8j1HDSzrUP1zhp2b+FmfBbSg9e0y6Q2xfyA9r5nTf8UREeqCAxxkVZwjEMxXuWMLCpefdJc2MMT8E5gCzgTyc6WdN7PXpwBxjzPezF6GIiIiIiHRUuqeEAhhnjLm6M9uttf/JQDwi0guU7/UTWV2NB0MEywVXdHx0ReVz6+NzpBedNBRPv7x0h9m+eb+Gt34LB58LZ/0GigZ137FFRHqIoKdpGjxXjiEatnhjI81cUY2wkPQxxpwK/BgIAn8H7gbWxTaPwan6/iXgdmPM29ba17IRp4iIiIiIdEwmEhbTYj9tsfvYbgElLEQOUB/N34YvNrrCPySXCWP6dKh/w+o9NHy0BwBXcQ5FM0ekPcZ27VgJb//Beb36JZj5fSUsROSAFPQ01R1yeS1RwBsbYeFWvkLS6xs43x/Ot9a+3GLb+8A3jTHPAy8C3wSUsBARERER6QXSnbDYhPPFQUQkZcGGMGvmxwq0GrjkqkM61N+Go87oipjSM0fj8rnTGWL7ohF45usQDTvL078DAyZ2z7FFRHqYxBEWxhMG3Hhjyx4L1lqMavtIekwF3m4jWRFnrZ1jjHkbOL77whIRERERka5Ia8LCWjsqnfsTkQPDB/O30lAXAmDCsQMZ28HRFbVvbyO82w9Azshi8ib3T3uM7Vr4V9i2zHnd7yA48abuO7aISA8TdCeMsHCHADcuY3BSyIZAMEKuLxMDfOUAVApsTKHdRuDYzIYiIiIiIiLpoqLbIpJV4WCE5a9schYMTDljVIf6R2qCVM9t6l963tjue3p370Z47WfED37eH8Hj655ji4j0QIlTQhnTEH/tafxYjmggrqRNOZDKkMaJsbYiIiIiItILKGEhIln14H8/xF/jjK4Ye+QAygYXdKh/1UsbsIEIAAXHDCJnaGGSHmliLTx3E4TqneVjvggjpnbPsUVEeqg9heMJXHQvXPsSrgFNtYQaExaRUDQ7gcn+aAFwpDHms+01MMZcCRwFvNVtUYmIiIiISJcoYSEiWVPvD7Fj0a748sRThnWof2BTNfXv7QTA5Hoonj0yrfHt08pHYd1c53XREJj1o+47tohID9Xg7UN0/Bkw8nhMYVMC2hsb+RYORrIVmux//h9O7bz/GGMeMcacbYw5JPZzjjHmMeDfQAT4TVYjFRERERGRlGkSYRHJmv8+/BEFEecmVlWZh1HjSlPua6OWymfWxZdLThuBuzAn3SG2rb4cXrylafnsOyG3uHuOLSLSS7gSalU0jrAIBzXCQtLDWrvYGHMj8GfgEuDiFk0MEAa+aq1d3N3xiYiIiIhI52iEhYhkRW1dkIrFu+PLJ18wtkP969/bSWhLLQCegfkUHDckrfHtUzQKI45zXh9yAUw8q/uOLSLSS5hcd/y1N5aw2F5Rn6VoZH9krf0HzpRP/wLWA4HYz3rgbuCoWBsREREREeklNMJCRLLiP//5ID66orLUzbRjh6bcN+oPU/XShvhy6bljMe5uKrQNUDgAPvMgfPg0jDi++44rItILmK3vQagS1x4X4BThbvyDc2tFPYdmLTLZH1lrPwCuy3YcIiIiIiKSHkpYiEi3276zjob39+LDEMVyxhUTO9S/eu4monVOoe68w/qR24GppNLGGJh0QfcfV0Skh8t59kao2oTLdTZwIwAeYwBLQ0M4q7HJ/sMYMx3YYa1dk6TdeGCwtXZ+90QmIiIiIiJdoSmhRKTbPXDP+/isMyKifkguU44YmHLf0M46at/e5ix4XJScNToTIbbJRHWjTUQkqfwyAEyoadq/ximhAn4V3Za0eQO4JVkj4H+A1zMbioiIiIiIpIsSFiLSrT5cU0HOBmcO8xCWy69NfXIQay2Vz66HqAWgeMYwPH1yMxJnS65Nb3Pah99hcOWSbjmeiEhvZfOchIXLNNWraCy6HQgo8Stp1Y3zQYqIiIiISHdQwkJEutVT//kQd+z+gjmomFHDS1Lu2/BhBYFPKgFwl/ooOnlYJkJszV+J97mvkxfaw7Gf/gHXmhe657giIr1QY8LCUBdf15iwCAY0wkK6XR+gIdtBiIiIiIhIalTDQkS6zfZ1lZSUO7Un/C7LF79wWMp9bShC5XPr48slZ4/BeN1pj7FNL3wHV81WAMoLJ1Iw7vTuOa6ISG+U1xcAF00jLLzGyViElLCQLjDGjGixqrCNdY08wCRgNrAuo4GJiIiIiEjaKGEhIt3CWss7TzTdL5hwyjD6lKQ+nVPN/K1E9gYA8I0tIe/QvmmPsU3vPworHwUg5M5n6cgvcZKrmxIlIiK9kG2sYWH88XWNIyxCQSUspEs2ADZh+eLYz74Y4P5MBSQiIiIiIumlhIWIdItPl5ezfV0VAKUD8zn7wvEp9w1XBqh5Y7Oz4ILSc8diTDdMW125CZ6/Ob64Yvg1+HP6Zf64IiK9WLyGBa1rWISD0WyEJPuPTTQlLEYA9UB5O22DwBbgceCuzIcmIiIiIiLpoISFiGRcJBLl7Sc/iS8ff+FY3O7US+hUvbAeG3JuchUeNwTvoIK0x9hKNAJP3ACBagDCh1zMVt9xmT+uiEgvF69hYcLgikLUFZ8SKhzSCAvpPGvtqMbXxpgo8Ki19gvZi0hERERERNJNRbdFJOP+c98HVO1ypgYZPK6E0UekPkohsL4S//vOw5OuAg/Fp7Y3VXWaLfg9bHrbeV0ygtDsX3bPcUVEervYlFAALrdTt6jxCZk8l/70lLS5Frg720GIiIiIiEh6aYSFiGRUeaWfikW7ycN5uvbws0elPJ2TjVgqn2kqtF18+ihc+d6MxNnM1qXw+i+c18YFF/0NfMWZP66IyH7A5vYBDOT1wdUQIRoCb+xj/6B+hVmNTfYf1tp/ZzsGERERERFJPyUsRCSj7vvXSvKizp2q6v5exh2cerHsukXbCe2oA8A7tJCCowdlJMbWBy6HnAJoqIITb4KRJ4Dfn7yfiIhg+02AH1aAy4354zLYWqsaFpIxxhgPcAkwExgaW70VeB14zFobzlZsIiIiIiLScUpYiEjGrNtYiWtNDWCIYLnw85NS7hupC1E1Z2N8ufTcMRhXNxTaBpgwG258Bxb8H8z43+45pojI/sK4wOUGwOWL/TYGFxAOqoaFpI8xZjLwGDAaaPlHwnXAT40xl1prl3dzaCIiIiIi0klKWIhIxjx6zyqKYvcPQqMLmDiuLEmPJtWvbMT6nYci848cgG9USUZibFfJUDjr1917TBGR/YyJJSzAmRYqpISFpIkxZggwB+gH7AQeAtbFNo8BPgOMBV42xky21m7PSqAiIiIiItIhSliISEYsWrqDwh0NgCFgLFd94bCU+wa31VK30LmvYHJclJw5KjNBJgo1gDc388cRETmAuHKb/tT0GNiwszaL0ch+5hacZMU/gW9aa5vN3WiM+R7wB5yRFv8D3NTtEYqIiIiISIe5sh1AT2GM2WCMse38vNHBfV1pjFlkjKkzxuw1xjxnjDkqQ6GL9EivPLQaExtdkT+5jIH9C1LqZ62l8pl1YJ3lolNG4C72ZSrMxoPCw1fB49c7dStERKRrFv4dnvoKZtOr8VVeYwgENMJC0uZMYBNwY8tkBYC1tgH4SqzN2d0cm4iIiIiIdJJGWDRXBfy+jfUbUt2BMeY24GfARuCvQBHOkPS3jTGzrLULuh6mSM/2/Jz1lFY7N6VqPfC1qw9Nua9/xW6CG6oB8PTLo+jEoUl6pMGif8Anrziv934KX3wFTDfVyxAR2R+tmwtrXsIVuho4HHBGWLiUr5D0GQ48aa1t96qy1oaNMe8AF3RbVCIiIiIi0iVKWDRXaa39cWc7G2PGAz8G1gDHWmurYuv/ArwL/MMYc6i1NpqGWEV6pFA4yornN9BYcWLEyYMpyPOm1DcaiFD1wqfx5ZJzxmA8GR4ItutjeOUHTcsn36pkhYhIV+U5NYuMqY+v8hhwR222IpL9TwAoTqFdUaytiIiIiIj0ApoSKr2uxUkC/bwxWQFgrV0O/Bc4GDgxO6GJdI/V726nJHZboCrXcNmFB6Xct+aNzUSqgwDkTiwjb2LqRbo7JVgPj18H4QZn+dgbYPypmT2miMiBIN/5/HbRlLDwAh7lKyR9PgRmGmOGt9fAGDMCmAms6raoRERERESkSzTCojmfMeYaYAhQDSy21i7sQP8Zsd9z2tj2MnANcDIwP9UdGmOGJWkyqPFFIBDA7281ha/0QA0NDW2+7u0C/jCLnl4fX55+yWiCoQCEkveN7GmgZv4WZ8FlyD11SGavZ2vxvvBNPDtXAhDtO4HAibdCO8fsKecsGo2wd+sWbFQDtVIRCAYJ7K0AYOva1fhycrIckaRC5633aTxnbl8uDQ0NeHJK8NJyhIXBY6Gurg6XS8/M9ASBQK8eePAf4C/Aq8aYm6y1LyRuNMacA9wJ5MbaioiIiIhIL6CERXODgHsSVxhjFgNXWGvXpdB/PFBrrd3Rxra1CW06YnOqDRcuXMi6damEKT3J/Pkp5696vL2rfPhrnBuLuQNCVFSsYE5b6bs2jP24kNKI03fHoHreey+z/11Glr/G5M2PABB25TC//zXUvP5mSn2zdc5CtTVse+NFQtUqDN4Zm198ItshSCfovPU+z27bzGGlOziSFiMsDBgML7z4KjmpzRQoGVZeXp7tELriH8DFwCzgWWPMHqBxXsnRQBlggFdjbUVEREREpBfQ421N7sH5wjMQKACOBO4DjgHmGmOKUthHCU7h7rZUJ7QR2e/UVbio2+TcgTJuS+khqT+1WbzXS+leJ1kR9EbZPiyzI4X61K3j8C33xZeXj7iOmrxkg5myK1RXw9a5zylZISI9Xs2GTwh6nD+bXC1qWAAEUhh1J5JMrNj22cCvgTqgL3B07KdvbN2vgHNUP05EREREpPfQCIsYa+3tLVYtB642TvHdzwHXA7/t5rAA2p2XN2YQsBhg6tSpjB07NvMRSZc1NDTEn9KfPn06ubm5WY6oawLBMHf9YHG88uUx54zi0BlDUuprI1Eq7/qQKM40S2XnjOXUw/tmKFKgvhzfvbfishEAwkd/iUmzfsikJN2yec5qKnbz1C9/RLiuFoCSgYMZdsih3Xb83iwSibBt23YAhgwZjNvtznJEkgqdt94nEomwesF8bCSMJxpm8vEz4dP/w9A6YXHUlOMYPTyVWsmSab19ZK61Ngjcaoz5EU6iYmhs01ZgibW2V895JSIiIiJyIFLCIrm/4SQsppE8YVFF+yMoihPapMxau2Vf22MJFQB8Ph95eXkd2b30ALm5ub3+vN1z71KKnVrZ1OW7mDJ7NC53agO4auZvIVrhJCtyRhRRcuzQZtd12pkSGHoUfLwNRhyP58xf4HF3bG6S7jxn1eW7eebXP6GmfDcAfYYM4/If/ZKC0j7dcvzezu/3Myc2L9kps2f3+n9rBwqdt97H7/ez/v3lBCv3UL93D94Sp8SWi+Y1LAAiEZfOaQ/h8/myHUJaxBITC9raZowpBb5rrb2tW4MSEREREZFO0ZRQyTVO7luQQtu1QKExZlAb28YntBHZb3y0dg/BFXsBiGI58YoJKScrIjVBquduchYMlJ43NrPJCoDcYrj8fjjjDrj0XuhgsqI71ewp59GffI+qnU5ZnD6Dh3LZD3+hZIWI9EiegkIAopEI9SHnmZjEotve2Me7z+jPT8k8Y0yxMeZ2YANwa5bDERERERGRFGmERXJTY783pNB2HnA8MBv4T4ttpye0EdkvRKNRnvjnSkpx7kIFRhVwwjGpTQUFUPXCp9iAMzVTwTGDyBmWSqmYNDAGjruxe47VSbV7Knj0J9+jcqczLU7poMFc+sOfU9inLMuRiYi0zZtfGH9dXRei8KCzceX2g4XOusYpoYpz9OendJ4xZgpwLk7duZ3AM9bapQnbc4Gbge/gjHw2wIdZCFVERERERDpBj7gBxpiJxpj8ttbjFOsDeDBhfUmsz+AWXe4BwsBtxpiShPaTgSuAj4C30hy+SNY88sQaSquchEOd2/LFGyen3Ldu6U7ql+0CwOS6KZ49MhMhOvash6qtmdt/mtXu3cMjP72Nvdu3AVA6cDCX/fCXFJX1y3JkIiLtaxxhAVCzpwKueBBz4R/imQpvbARdKBjJSnzS+xljfgMsAn4AfCn2e7Ex5sex7cfgJCd+CpQCm4EvAIdnIVwREREREekEPeLm+AxwszFmPrARqAMmAGcBXuCX1tr5Ce0vxElO/Bu4pnGltXZN7AvTz4AVxpjHgaLY/gGut9ZGM/tWRLrHrvJ6Nr+2lfzY6IqxZ4ygT0lqhahDu+qpfPKT+HLpuWNxF+ZkJE6CdfDQlVC7Cy75F4w5OTPHSZO6yr08+pPvsXebU76mZMBALv3hLyjqq2SFiPRsiQmL6t274q9dPg/RcCj+R2c4qD+FpOOMMWfjjJwAqMaZZrUYGAP8wBizGrgrtm4Pzt/jf4kV5hYRERERkV5CCQvH68DBwJHASUA+Tu2KF3C+6MxJdUfW2p8bYzYA3wJuBILAm8APEoeri/R29/51OQVRJ1lRVebhq+eOT9LDEQ1GqHjgI2zIuWGVf/RACqYMzEyQ1sKz34RdsZkgXvpf+PKb4HJn5nhdVF9VyaM/vY09sWRFcf+BXPbDX1Lcr3+WIxMRSc6TOCVU+e74a5PrhrpQfEqoBn+4u0OT/cP1sd9/BP4nVmgbY8zBwOM4DxJ5cP6uv9xaW97mXkREREREpEdTwgKw1s6jA7UlrLX3AvfuY/sDwANdDkykh3r9rU0UbGkAIGgsl9+Q+kwLlc+sI7zTKcLqGZhP6XljMxIjAIv+DisfdV7nFDlFtntqsqK6ikd+8j0qtjhFyIv69eeyH/6C4v4DshyZiEhqvIlTQlU0JSxcOW4iNBXdXryunIOnDurm6GQ/MAWnptxNiSOWrbUfGWO+BbyEM/LiAmttTVYiFBERERGRLlMNCxHpkEg4yvInP40vF0zpy9iRpSn1rVu6k/olOwEwXhd9rzwYV06GEgibFsLL32tavuDP0H9CZo7VRfXVVTz609uakhV9+3PZD39JyYAMjTwREckAd24exOpUVJfvhld+BHeMxOx4FwCXMbiAYEA1LKRT+gPL2ple9d3Y7zeVrBARERER6d2UsBCRDln+6iZy6pybTbX5Lq69JrXRFa3qVlwwDu+AVrXu06NmJzz6eYjGph054RtwyPmZOVYX1VdV8thPb6N80wYACsv6ctkPf0HpQD19LCK9i3G58OQXAFBTvhtsFBoqcZn6eBuvgZASFtI5OUBVWxustdWxl7vb2i4iIiIiIr2HEhYikrKq3fUsfn4D4DxEe+23jsLrSf4x0q11K8IBePQaqNnuLI86CWb9KDPH6qKaPeU89ONb2d2YrOhT5iQrBg3ObmAiIp3UWHi7obaGoKcEABd1TdsNhFR0W0RERERERNqhGhYikhJrLfMeXE0klnQ4fNZwBowoTqlvt9WtiEbhqRth09vOctEQuORf4O55H3VVu3bw6E9vo2qXM0VWYd9+XPr9n9Nn8NAsRyYi0nne/EIaYq9rwrn0BUzCCAuPgXBQIyyk08YZY67uzHZr7X8yFJOIiIiIiKRRz7uLJyI90pNPrWH7R3sBKCzzcew5o1Pq1611Kza/Cx887rz25sNn7ofCnle0umLrZh772fep3VMBQOnAwVzy/Z+pZoWI9HqehMLb1QEPfQEX/vg6rzHxxLdIJ0yL/bTF7mO7BbKWsDDGbABGtrN5nrV2Rov2PuAW4HPAcGAP8BzwfWvtrsxFKiIiIiKSfUpYiEhSO3fXsf6VLeThFFOddtl4cnKTf3x0a90KgJEnwKX3wlNfcUZWDJ2SuWN10q4N63ns5z/AX+1Mw9132Aguue2nFJb1zXJkIiJdl5iwqPFboPUIi6gSFtI5m3ASD71VFfD7NtZvSFwwxriAp4HTcYqJPw6MB64DZhljjrPWqlaHiIiIiOy3lLAQkaTuvWs5hVEnWVHV18O4yclHLXRr3YpEky506lYU9Mv8sTpo25qPeeKOHxGoc+ZzHzBqLBff9hPyi0uyHJmISHp48hNGWNQFAXCRUHQbJSykc6y1o7IdQxdVWmt/nEK7z+MkK/4LXGmttQDGmC8DdwE/A27IVJAiIiIiItmmotsisk9PPreWwm0BAILGcsUNR6TUr9vqVgTrW6/rgcmKzave57GffT+erBgy4WAu/eHPlawQkf2KN3GERbXz+WxMYtFtQzTcmx+SF8m462O//7cxWRHzN2A9cKUxJq/7wxIRERER6R4aYSEi7dqyvYZ1L2yKTwXV54QBjB6R/AZ7t9Wt2LsR7jkTpn8Xjr42/ftPk/XLFvPsnb8kHHKeNh5x6OGc/90fkJOr+w0isn9pNsJibxUYV7MRFh4DhDXCQg5IPmPMNcAQoBpYbK1dmNjAGJMLTAVWW2s3Jm6z1lpjzCs4oyuOBt5M9cDGmGFJmgxqfOH3+/H7/ftqK72Qzqk00rUgiXQ9SCNdC5KoI9dDpq4dJSxEpE3RaJR//2EZpbGpoCr7eLjxyklJ+3Vb3Qr/XnjgUqjeCs99C4yBKdek/zhdtGbhAp7/v/9HNBIGYMxRx3DuTf+LJycny5GJiKSfy+vFV1BIoK6W6vLdMKIPpiax6DaMKs1gLSORnmsQcE/iCmPMYuAKa+262KqxOCPg17azj8b14+lAwgLYnGrD+fPn069fR0aq6utkbzBnzpxuOpKuh55O14Ik0vUgjbrvWgBdDz1fR66H8vLyjMSgKaFEpE33PfghpXudm+x+l+Xz3zgSl2vfHxndVrciHICHroLy1c5y33Fw8HnpP04XrZo3l+d+96t4smLC8Sdx3rdvU7JCRPZrRX2dm521e8qJnnUnrjN+EN/mMfqKIgeke4BZwECgADgSuA84BphrjCmKtWscxlrVzn6qW7QTEREREdnv6DujiLTy4ZoK9i7YiTc2FdTYs0YwbHBRkl7dVLciGoWnvgIb33KW8/vBlY9Bfln6j9UFy+e8wNy7/xJfnjTjVGbf8HVcrgxMjSUi0oMU9u1H+aYNRCMR6oacRN6gAnh2CeDUsAgHNSWUHFistbe3WLUcuNoYA/A5nLoVv81gCMOTbB8ELAaYPn06w4Ylm0EqwTuvdT4q6TazZ8/ungPpeujxdC1IIl0P0qjbrgXQ9dALdOR62LJlS0ZiUMJCRJqJRi3P/H0lRdZJVtQO9XHhOeOT9uu2uhWv/RQ+eMx57cmDzz4MZaPTf5xOstEobz18H4ueejS+7sgzzmXm56/HtDFCpT5Uz72r7mXh9oVEbITinGL+cupfmrW5a/ldLNi2IOmxpw2Zxo2Tb2y27sZXb6QmWJO075eP+DInDj0xvvxp1af8YMEP9tGjyZ9n/ZkSX9PDns+se4ZHVj+StN/I4pH8/MSfN1v3s3d/xsd7Pk7a99wx53L5xMvjy8FIkC+8/IVW7aLRKJU1lQA8PPdhXC4Xt029jYP7Hhxvs2THEn6/9PdJj+l1ebnnjGazeXDPB/cwd9PcpH2PGngUN0+5udm6m9+4mV31u5L2vWbSNZw68tT48o66HXxn3neS9gP4zcm/YVBBfGpyXtn4Cv9e9e+k/QbkD+C3M5rfO/vtkt+ydNfSpH1PHXEq1xx6TbN117x0DeFoOGnfm6bcxJSBU+LLW8Nb+eLcLyYd3QVwz+n34HV748sPffwQz61/Lmm/g8sO5rbjbmu27ra3bmNj9cZ2ejS5/KDLOXfsufHlqkAVX5371aT9AH427WeMKhkVX35r61v8dcVfk/brqZ8Rjf/WCk0hlxVNjq+vKd9N/pDi+LLXQDgYSXo8kQPE33ASFtNwEhaNIyvaG0HR+I+pvREYbbLW7vObZCxxAkBeXh55eaqxtb/ROZVGuhYkka4HaaRrQRJ15HrI1LWjhIWINLNszkaKap2nX2s98KVvTEnSoxvrViy5B95qvIlq4JK7YdjR6T9OJ4VDIV6+6/d8vGBefN2xF1zKiZ+5utnNgEZvbH6DXy78JdvqtsXXleW2HimysWYjK3avSHr84UWtH6BcVb6KvYG9SfvubWjexh/2p3RMgIhtfvNxV/2ulPoGI8FW6z6p/CSlvkcPbH7eLTZpv80VzhTetaHaZuurg9UpHTPH1Xoqr621W1Pq2ye3T6t1H1V8xJba5E8jlPubzwkZjARTPjehSKjVvjp7LX1a9WlKfSeWTWy17v3d7xOKhtpo3Vx1oLrZcsAGWFmxMmk/cK6BRNvrtqd2Xt2tz+uavWtSSpzNGD6j2XI4Gk753PjDzYuT7W3Ym1Lf3vAZsTyQS+MVX12+m8FjDopv8xio9ydPXokcIBo/4Ativ9cDUZwaFW1pXN9ejQsRERERkV5PCQsRidu9qYZFz3wKODWsz7xuEn1KcvfZp9vqVqyZA89/u2n5zF/DxLPTf5xO8tfW8Mxvfs6Wjz4AwBgXM6/9Ekeefk6rtttrt3PHojt4bbOGQorI/meLKadPrExazdZPMVvc4LIQNXgwBBqSJ69EDhBTY783AFhr/caYRcBxxpiR1tr4UC/jPPlwGlAHLOnuQEVEREREuoux1iZvJT2WMWYYsBlgzZo1jB+ffOoeyT6/38+cOXMAZ264njD8LhyM8Mgvl7B3ex0AU84YyXEXJK9BseexNfGpoDwD8xnw1cnpnwoqHIA/HAXVsafRj/8anP7zffdJs32ds8qdO3jijh+zd5sTn8fn45xv/g9jp0xtto9QNMQDHz7AX1b8pdnT1VMHT+W2qbcxsngkAC7TfPqbqE19vvfO9jWYZqNArLWtnljvSl9D6xEmQKuRJx35f1LLY7alvfPW2fe6P56b9mTzvTaeN2stp80+LaXPyJbvVecmvX2Txev3+7noiYvYFtnGgMpcznrbSVxPPnw4s0IPsq3hAaKUUBexvFoT5st/moHbk3yqL8mstWvXMmHChMbF4cmmDpKOM8ZMBDZZa+vbWP86Tv2Ik62182PrrwX+BfwXuNLG/gdnjPkycBfwd2vtDWmOMf59YvPmzR2qYTHq1ufTGYpkyIY7uuchH10PPZ+uBUmk60Eadde1ALoeeoOOXA9btmxh+PD4SP60fZ/QCAsRAeDBf75PTSxZ0W94Iceck7wuRLfVrfD44MpH4N/nwagT4bSfpv8YnbTjkzU8+eufUF9VCUB+SSkX3vIjBo1tnTz81uvfYv6W+fHlvrl9+e4x3+Ws0We1OWVUo5Y3GDuis32NMe0mGTLdN539jGm6yZr4ulWbTsZ7IJ2bbL1Xl3F1qr/OTWb7tozXZVz0c/VjW2QbNblNIyiq66PgBWPqwZbgiXWpbwhTVNh6Oi6R/dBngJuNMfOBjTgjJCYAZwFe4JeNyYqYfwOXA1cAo40x84BxwEXAp8D3uzF2EREREZFup4SFiPDS3E+ped+Zn9y4DaddOynpk6/dVrei0cBJcN2rUDwUUijA2x0+Wfwuz//h/xEOBgAoGzKMi/73dkoGtD0l1kXjL2L+lvkYDJcddBnfOOobFOcUt9lWRKS36e/uDyHw+yIYtwsbiVJTG4A+4KKeCE7RbYDaupASFnKgeB04GDgSOAnIx6ld8QLwF2vtnMTG1tqoMeZ84Facgtw3AXuAu4HvW2t3d2PsIiIiIiLdTgkLkQPcrvJ63n9iPQWxJ2U9R/ahbEjBPvt0S92KvRugZETz5ERZ8lEf3WXpi8/y+r//DrGpiIYdcijnf/v75BYWAs40K/WhegpzCuN9Thl+Ctceei2zR87m0H6HZiVuEZFMOchzEPl5+Zw59Uw+WvIvanbvpqaqFvqAwZkNx2UMLqDWrzoWcmCw1s4D5nWwTwC4PfYjIiIiInJAUcJC5AB39x/eozjiJCsqi1zces3hSftUPrOO8E7n5pNnYD6l5yWvddEhO1bCv8+Fg86G8/4ArgxMM9VJ1loW/PffrHj5ufi6idNO5vQbv4XH6wWgwl/BLW/eQo4rhz/P+nOzKYlunnJzVuIWEcm0IZ4hDPEM4egBR7Ot//PU7N5Ng7+BYMSNy9TTWPLCY6CuTgkLERERERERaU0JC5ED2H8f+5jiXc5No4CxfOZrk5NOBZXxuhW7PoL/nA/+vbD8fug7Fk7qGTf5o+EwO995g7rNn8bXTb3wMqZddhUmNhJkxe4V3PzGzeyq3wXA3E1zOXXkqVmJV0QkW4r7DYi/rg77nIRFjNeA3x/ORlgiIiIiIiLSwylhIXKAWrexku1zt+KLTQU1+JQhjB1Zus8+Ga9bUb7WKaxdX+EsDzsWjr0+ffvvgtq9FWyd+zyBCicRYVwuTr3uKxw+6wzAGXnxyOpHuGPxHYSjzo24/nn9VaNCRA5Ixf36x1/XhPIo9TUlLDwG/JoSSkRERERERNqghIXIASgQDPPQH5dTap1kRXV/L1+99OB99sl43YqKdc40UHVOQoAhR8JVj4GvKH3H6KStH3/IM7/9BYGqSgC8ubmce9P/MnryFAD8YT8/e/dnPLPumXifowYcxZ0z7qRfXr9shCwikhV10Tre2/Uea8Ib4+uqXWWUkTjCwmiEhYiIiIiIiLRJCQuRA9AffruY0lon8VDntnzhG0cl7ZPRuhV7NzojK2q2O8uDDoPPPQm5Jek7RidYa1nxyou8fu/fiEYiAHjyC7nwlh8yfOIhAGyu2cxNr9/E6r2r4/0+d8jnuGnKTXhd3qzELSKSLfMC83j7jbcZsjuX2ThJ7ZpoMSZhSigPEA5GsxShiIiIiIiI9GRKWIgcYF589hPyN/gBiGA59rMHMbB/wT771C3JYN2Kqi3w73OgeouzPGASfO5pyOuTnv13UjgUYu7dd/HB63Pi6/IGDmHQtFn0GzkagPlb5nPrm7dSE6xxtnvy+MkJP+GM0WdkJWYRkWzr53JGldXlNY2gqI7k4TIN8WWPgYMHFHZ7bCIiIiIiItLzKWEhcgDZtbGajS9viS8XnTCAGdOG7bNP/fu72fvEmvhyWutWVG+He8+Byk3Ocr+D4OqnoaBvevbfSTV7ynn2zl+y/ZOmURNHnH4OtX0GxotrW2t5ePXD8WTFqOJR/G7G7xjXZ1xWYhYR6Qn6u53aFXW5kfi6mqJDMOd/Gx5dCzhTQmmEhYiIiIiIiLTFle0ARKR71FcHefGvK4mEnZtEw48ewLVXH7bvPu/vZs9DH0PsvlLBcYPTW7fCuMDjc16XjYXPPwOF/ffdJ8O2fLyK+2/9VjxZ4cnxcdbXv8O0Kz4fT1YAGGP4xYm/YGjhUE4ZfgoPnv2gkhUicsBrHGER9lgiPuczs3pPBa7cpinyPAZCwUib/UVEREREROTAphEWIgeASCTKy//4gNq9AQAGjSnm7M8fss8+LZMV+UcPTG/dCoCigXDN8/DsN+HMX0PRoPTuvwOstayY8wKv//vv8XoVxf0HcN63b2Pg6LH4/X5CNoTXNN10K/GVcN+Z99Evrx/GmGyFLiLSYxSaQgq9hdSGaqnLi1AcMNRUlENO02ek10BYCQsRERERERFpg0ZYiBwA/vTbxWxbWwlAfnEOZ3zpMNze9v/5t5Ws6HPReIwrDTfloy2mASnoB595AEqGdn3fnRQOBpnztz8w9193xZMVIw49git/8TsGjh5L1EZ5YPUD/K76d9REa5r17Z/fX8kKEZEYYwyjikYBUOlz6iXZaJRAsC7exmPg4y3V2QhPREREREREejglLET2c/c/9CGedbEbRS4444bDKCj1tds+o8mKVU/Bv06Hhp5zo6qmopyHb7+VD15/Jb7u6HMv4uLv/YT84hJ21u3khldu4P9W/B/VtprH6x8najX3uohIe0YWjwSgNrep8Hbt23fFX3uMYcfe+m6PS0RERERERHo+TQklsh97Z8k2Kt7Yjgcn2ZB/XH8Gjy1pt31GkxWL74bnvw1YePhKuPKxpvoVWbLuvUW8dNfvaahxEiieHB+zv/wNDp52MgCvbHyF29+5napAVbzPIPcgJSxERPahcYRFXV7TtE91H75Ige9MwBlhEQnpc1RERERERERaU8JCZD+1dUctb97zMQWxZEXtUB9f3UeR7YwlK6yFN+6AeXc0rSsZAcbdtf12QTgYZP4D97DspWfj64r7D+T879zGgFFjqAvVcceiO3jqk6fi2wfkDeBs19mM9Y7F49JHp4hIe0YUjQCgLq9phEVVOEpBLEftNRAN2myEJiIiIiIiIj2cpoQCjDFDjTHfMsbMMcZsMsYEjTE7jDGPG2OmdmA/M4wxdh8/12TwbYjEBYJh7v3NEgpiD7dW5hu+/p1j222fsWRFNALP39w8WTHtW3D+n8CdnZv+FVs28+BtNzdLVow9+jiu+uXvGDBqDCt2r+DSZy9tlqw4beRpPDD7AcZ601x0XERkPzSqeBQe46G434D4uuqQG3ASGB4M0bBGWIiIiIiIiEhrekzY8XXgFmAdMAfYDYwHLgAuMMZ81lr7cAf2Nw94o431y7sUpUiK/vi7JZTWOjeD6l2WK286mvw8b5ttM5asCDXAE9fBR02JAU7/BRz/1a7tt5Ostax8bQ6v3/t3wsEAAG6vlxlXX88Rp52JMYZ/r/o3v3vvd0Ssk+nJ9+Tzv1P/l/PHnk9DQ0NW4hYR6W1GFo1k0VWLCFTV8LdXrgagJuTD4MdShNeAVcJCRERERERE2qCEhWMRMMNaOy9xpTHmJGAucJcx5ilrbSDF/b1hrf1xmmMUScn9D31I3qdOMdMIlmOunMCo4cVtts1YsqKhCh66Eja86Sy7PHDBXXD4ZV3bb2fDqavllb//iTXvvhVf13fYCM7+5v/Qf8So+LpBBYPiyYrD+x/OHSfewfDi4d0drohIr+YyLrwuL56SUlxuD9FImJpwLi7qiFCExwARTQklIiIiIiIirSlhAVhrn2hn/ZvGmNeB2cBhwJJuDUykg95e3LzIduHx/Zkxre0b7hlLVvj3wr3nws6VzrK3AC7/D4w7tWv77aStH3/I83/8f9SU746vO+K0Mzn5c1/E68tt1vb0UafzzrZ3GJg/kOsPv161KkREusC4XBT160fVzh1Uh3JxmToi1im6TVgJCxEREREREWlNd+OSC8V+h/fZqrnxxphvAXnAFuA1a+3WzhzcGDMsSZNBjS8CgQB+v78zh5Fulji9ULqmGqoub2Dlfz+JJytqhuTwhcvGt3lNBFbtofbx9RC7X+Q7sh+5Zw2jIZCGWKJeckpH4t65EptXRuCS+7FDjoJuvjaj0QhLn32SxU89grXOG/UVFDDzCzcyZspUNlRv5oUNL3D9pOsxpilJ8z+T/wdjDKFAiFD8n39mzplkns5b76Tz1vu0d84K+vSlaucOAhE34Px/wG0M7ojV3yw9QCCQ6uBhERERERGR7qGExT4YY0YApwLbgZUd6PrZ2E+jsDHmj8B3rY3NN5O6zak2XLhwIevWrevg7iXb5s+f3+V9RBoMu97NJ+J3AVDpi3DQpArmzJnTqm1phZcxawoxscRGef8AG31r4JU1XY6jkSv3Qo4oq2TtwHOo/aAcPmgdRyaF6mrZ+c7rNOzaEV+X238QA0+YyeryPdz7zA+Z2zCXECGqN1RzeM7hHdp/Os6ZdD+dt95J5633mT9/PtvC25gfmM/g2kqG4gYgkjCzZk4k2ub/o6R7lZeXZzsEERERERGRZpSwaIcxxgvcB/iAW1JMNOwGbgWeAzYABcDxwB3ATTjPs387E/HKgSsagvIlefFkhacwwiFT62lrNqM2kxVj66ALs0CZaJiiwDaq80Y0xeTysmzklzq/006y1lK97mMqli0kGoqNjjCGskOPos+kyWyP7uCp2v+wLbIt3mdBYAGHeQ9rNspCRES6JkyYD0If4MktYSilAISiAdzO/6oo1EeuiIiIiIiItEEJizYYY1zAvcB04B/W2vtS6WetXQWsSlhVBzxtjFkIvA98wxjzK2vtrg6Ek6zi7yBgMcDUqVMZO3ZsB3Yt2dLQ0BB/anj69Onk5uYm6dG2mrogj/1+JbYmCEBhHx9nf2MSBaW+Vm0Dq/ZQ++76+LJvcj8mnDeSg7pyo75uNzlPXYdr90cEPv8yts/ozu+ri6p2buf1e/7G7o+b/gkW9u3HaTd8gz5jRvOPVf/gwTUPxotqGwyXj7+cLx/6ZfK9+Un3n65zJt1L56130nnrfVqeswbTwN+f/jt1eU3PewR9heTFcsklXi+zZ8/ORqiSQCNzRURERESkp1HCooVYsuJfOFM63Q98uav7tNbuMMY8DVwHTAWe7UDfLfvanvhUuM/nIy8vr7NhSpbk5uZ26rwFgmH+8ZtFlFY6N4NyC72c/60jKR3Y+uZ7/fu7qX2iqWZFWgpsb1kCD38OapzRCrnPfhm+NA+6eaRCNBph6fNPs+CRBwgHm6YbmTTjVGZ87jpW1Kzia69cyeaaptnVxpWO4/YTbufw/h2bCqpRZ8+ZZJfOW++k89b75Obm0ievD2W5ZdTl1sfXB0pHkLfbeW0iVue1B/D5Wj/gICIiIiIikk1KWCSIJSvuAa4G/gtcY62Npmn3jZMEF6Rpf3IAi4Sj/O7n78aTFUFjOf6qCe0mK/Y89DHEruS0JCuW3gfP3wwRZ2QHRUPg7N91e7KifNMGXv7bH9jxSVP9jeL+AzntS19j2KGH8ZN3fsKTnzwZ3+Z1ebnh8Bv4wqFfwOv2dmusIiIHmlHFo1iX93582R+ooTQ2PZQ7YolGorga54gSERERERERQQmLuBbJioeBz3WiQPa+TI393pDGfcoBKBqN8tvfLKRop5MsCGOZdNk4jpo8sFXbtCcrwkF46VZYcnfTuhEnwGX/hsIBndtnJ0TCIRY++SgLn3yEaCTsrDSGI884hxM/czU5uc5Tu/6wP97nqAFH8aMTfsSYkjHdFqeIyIFsdMlo3s9dFl+ur6+icaZLj4FwKEqOEhYiIiIiIiKSQAkLmk0DdTXwKHDVvpIVxph+QD+g3FpbnrB+irX2vTbafxOYCawlVm9CpLP+/Oel5G9wbsRHsQw7ewSzZ45s1S7tyYqanfDI1bD53aZ1x34JZv8cPDmd22cn7PhkDS//9f8o37wxvq7PkGGcfsM3GDrxkGZtbzn2FlaWr+TaSddy6UGX4jK6MSYi0l1Gl4wm7LE0eCPkhtzU1uyB2CxQXmPYtdfPsMFF2Q1SREREREREehQlLBw/BD4P1AJrgO+b1lPbPGWtXR57/TXgR8DtwI8T2jxujAkBS4AtONM/HQccCVSSJBEikszd976Pa1V1fLlk+kAuPnd8q3ZpT1ZsXgyPfA5qtjvLbh+c8zs48srO7a8TQoEGFjzyAEuff5rGmdqMy8Wx51/C2DNn8aeVf+HINUdyyYRL4n365fXj2QufxevS9E8iIt1tdMloAGrzwuSG3NRU744nLDwG6upDWYxOREREREREeiIlLByjYr8LgdvaabMBWJ5kP3cBpwPTgb44t4s3Ar8H7kxWQFtkXx5+4mP87+7G4CQdXEeWcvVnD23VLiM1K8J+qNnhvC4eCpffD0OP6vz+OsBay5p332Le/f+ipnx3fH3/UWOYef2XebH+LW5+7kL8YT9vbX2L00edTlFO0xO7SlaIiGTH6GInYVGXF6FfNYSiwfg2J2ERzlZoIiIiIiIi0kMpYQFYa68BrulA+x/TfGRF4/pfAb9KU1gicS+9+ik752zFHUtWBMYVcvMNrRMGdUt2sPeJtelNVgCMng4n3gSbF8Gl90Jh/67tL0U7P13H6/f+na0fr4qvc3u9HH/xFew5rIAvLv8W2+u2x7eFo2HW7F3DlIFTuiU+ERFp35DCIXhdXurynMREKBqIb/MaqNcICxEREREREWlBCQuRHm7H+io2PL0xnqyoHeLjuzcf3ayNDUXY+/Q66pfsjK/rUrLi0/kw8kRwJdR8mPk9wIA78x8b9VWVvPXQf1j5+itgbXz9yMOPZPj5p/DnzfewbEFTIVe3cXPZQZfxlSO+QmluacbjS6doIED9woW4S0rIO+KIpvX19ex54IGU9lF64YV4+vWLLzesWUPtvHlJ+7ly8yj73FXN1tW89jqBdZ8k7esbN46imTObrdvzn/uIBhqS9i2aMQPf+KapzMK7d1P51FNJ+wGUXXUVrry8+HL9smXUL1nSbvtwKEyftWuIFBbC7NnNtlU9+xyhHdvb6dkk74gjKDj22PiyDYepuOeelOItOftsvEOGxJeDGzZQ/corSfsZl5u+X/xCs3W1by2g4aMPk/bNGTGS4tObv9e9Dz1MpKa6nR5NCk44gbxJk+LLkaoq9j7ySNJ+AH0uuwx3SUl82f/BKureeTtpP3dRMX0+c3mzdXWvvEqfN94AoGrrNuq8bX/u5B5yCIXTpjVbV3H33dhoNOlxi2fPJmdkU/2f0NatVL3wQtJ+AH2/8AWM290U78JF+N9fkbSfd/AQSs45u9m6ysefILynImnfgmOOIW/y5PhyT/uMiP9by88neuKJkJeH2+Xm+sOvxx3cSs2G5S1GWBhqGzTCQkRERERERJpTwkKkB9v84R5e+NtKIiHn5ltkSC433XosroREQrjcT8UDHxHaXhdfV3DcYErPG9vxZEWgFl66BZbdD6f/Ao7/atM2d+anVoqEQyx78Vneefwhgv76+PrSQYOZfNmlPBmdx+3vfaNZn2lDpvHdY77L2NKxGY8vXcJ791I7bx61r71O7VtvYevr6X/zzc0TFn4/u+/8bUr7K5w2rdnNyMBHH6XU111W1upmZPWLL1L97LNJ+xafd26rhEX5X/5CpLIyaV/vwIHNEhahnbtSfq+ll1zSPGGxcBG7f//7ffbpDzQMHdpqfeXDD+8z2dGo75e+1DxhEYmkHG/eEUc0S1gE1q1Lqa/JyWmVsKiZ+yqV/30oad/CU05plbCouPtuQps3J+3rKihonrCorEz5vRaffnrzhMXy5Sn19Y4Y0SphUfvcs/Sf/yYAe198qd2+fT772VYJi12//z8IJX9y3zd2XLOERXDzlpTfa9/Pfx4SExZvvUnFP/6ZtF/+sce2Sljsuf9+Ah99lPygN9/cPGHRAz8jGsfe7TUuCn72UwBuPOJGVte/xXNzljcbYeEx0KCEhYiIiIiIiLSghIVID7Vm8Q7m3vsR0YgzwmDYxD6c/dXD8XibbpL5Pyhnz6NrsAGnlrvxuii9cBwFRw3s+AG3LYPHr4OK2JOzr/wIDjoLykZ3+b0kY61l/dLFzLvvn+zdvi2+Picvn+Mu/gxHnXkuf1zxZ57+4Jn4tlHFo/juMd/lpKEnYUwXp7zqBsFNm6h57TVq575G/dKlEIlkOyQRkYyoe/ll7I9+iPE6ie7ifk4qI2ybRlh4DQSUsBAREREREZEWlLAQ6YHuuW8ldQt203gbfvQR/Zh93aR4ssJGolS9uIHat7bG+3j659H3qoPxDizo2MGiUXjnTzD3JxCNPZXsLYCzfwN9RnX9zSRRsWUzb/znH2xYsbRppTEcNvM0pl3+OQpK+wBwzaRreGj1Q7iMi68c8RUun3h5ryiovffhR9h7/30E1rY9zZK7Tx8KZ86k8MTmT4m7iooY9qc/pnQM77BhzZbzjzkmpb6NNxMTlV19daun89viGTS41bohv7oDm8KT7bkJT/AD5IwYnvJ7dRU0v76LZs/GN6790TWBYJDly5cTzc1lYott/b/1zZRGhOSMGtVs2Xg8KcebOJIEIPeww1LrmzgdW0yfyy9vNZqgLYlP0jca9KMfYRv8Sfv6Djqo1b5Sfa8tj1t48nS8g1K4DhNGzDQq+eIX+ST2333y5Mn4cnLa7Nvy2gcY9vvfNZtKrj25hza/Dn0Txqf8XvE0//Op5Lzzmo2Qao+7T59W6wbecgvR2pqkfXPGNr/Oe9pnRCAYZMNdf6Vg7VpsOExg/XpyY9dTcf8BAERsmKiN4DJuPBgCDUrcioiIiIiISHNKWIj0INZa/vLXZbCiMp6smHDcIGZ9biIut3MDM1wZYM+DHxHc1HSDK++I/vS5aBwuXwf/SVdvh6e+DOvfaFo35Ei4+G7om9kplmoqyln45CO8P/elZvPNDzpoIntOKGPbsOJ4sgKgNLeUO0++k0P6HkKf3NY3/XqqyJ6KVsmKnJEjKZw1i6JZp5A3eXKzufAbuXJyKDr11E4d0ztkSLNpiDoi77BD4bBDO9W38OSTO9XPXVzc6ffqGzMa35j2RwF5/H7q2kmi5B99dJvrkzFud+fPzYABeDvZN3fiRHIntky7pKZlQixVroKCTr/XnOHDyRk+vFN9cw8/nLodOwAomDmTvDaSGu0pmjWrU8f0lJV1/jocP75VcipVBcdN7VS/nvYZ4fH7qVi/nspp0zj+yzeQW1oa3xbMsRiPGxuOEI4GyHHn4zEQDChhISIiIiIiIs0pYSHSQ0SjUX5/52J865pqUQTGFjDr6onxmhUNa/ay56GPidbHptFwG0rPGUPBcYM7Ni2StfDhU/DczeDfE1tp4MRvwYzvgaftp5nToXbvHhY99Sjvv/oikXDTdCCFffsRmT6Kv0RfoXpnNYV7Crlw/IWU+JrmxJ82tHM3XTPNhkLUzptH5WOPM+iHP2h2I7DwlFPY/Yc/knfEERTOOoWiU04hZ8yYXjGNlYhIRzTEElQuny++rjZYy/RHT+ainCEUh72EokFy3Pl4lbAQERERERGRNihhIdIDBINhfnfHQgq3NRUk5fASvvXlI3G5XNiopXruJmpe2wSxmU7cpT76XnUwOcOKOn7AFf+Fp25sWi4aDBf+FcbM6NL72Je6yr0sfuYxVsx5kXAoYR7z3Fy8U8fy35J3qAi8F1/fEG5gyY4lzBrZuaelu0Nw40YqH3ucyqeeJLK7HIDKQw+l/9eaipX7Jkxg/Jvz25ymR0Rkf1eYU0j/vP7U5UUorvcSjAYowCm6Pbo09ZEzIiIiIiIicmBQwkIky+r9If5252JKKpzRBhZLwQkDuPbqwwCI1AbZ89BqAp9UxvvkTiyj7LIJuPI7WcNh0oUw71ewdwNMPAfO/QMU9O3iO2lbfXUVS559gmUvP0c40JSQ8eT48B49iqfLlrEtuhpigy1cxsW5Y87lhiNuYHhR56aTySQTClH7wgvsevoZ6hctarW97u23myUsjDFKVojIAclaizGG0SWjqctdB0AoVnjbbQzFntbT4YmIiIiIiMiBTQkLkSyqD8Bff7GU0lqnhkMEy8DZQ7n8Imee+sCGKioe/JhodWxEgoHi00dRNH0YxtWBKYVqd0Nh/6Zlbx6c90fw74WDz4MMTE/kr63hveeeZOmLzxJKKPbr8ebgmTKSR0sXUuFaA7HyFQbDGaPP4MYjbmR0Sfs1CbIl+MknDHjyKYpWrKDc36J4scdD0cyZlF56CQUpFEUWEdlvWUvtc89RMf9NwhUVjHrwAUaXjGZ13moAwtGmxHXUrymhREREREREpDklLESypK7e8MnbefQNOXfsQ1jGXTSac2aPwVpL7ZtbqXrp0/gNfVeRl75XTMQ3pjT1gzRUw2s/haX3wZffgn7jmraNnp6+N5N4yNpalr74NO89/zRBf318vdvr5YhTz+SY8y/hka1PUfHeq/Ftp444la9M/grj+3SuaG13CH6yjtJ33222LmfUKEovvYSS88/XKAoREQBjqH7oYYKrVgEQ3LKVUcWjWJrnJCdC0aYpAaMN4TZ3ISIiIiIiIgcuJSxEsqB2b4CaJXn0DTnTYTQYy5SrDmLGtGFE/WH2PLqGhg8r4u19Y0oou2Ii7qIUi2FbCx89Ay/eAjXbnXXP3wRXP5OR0RQAlTu2894LT/PBG680m/rJuF2Mmz6dmZddQ1GZc1P/koJLuPeDezllxClcPelqxpSMyUhMnRHato3qF14g74gjyD/mmPj6/JOnE83JAWspmj2bfp+5nLyjj1bxbBGRFvJnzognLGpfm8voWWOpzXWSE6GEERZ1NcG2uouIiIiIiMgBTAkLkW628YMKXrlnFeE6J1kRzjHM+OIkphwxkODWWioe+IjInoZ4+6KZwyk+bWTqU0BVboIXvgtrXmpa582HcaeBjYJJ75zhW1d/xHvPPckni9/F2mjTBpeLnWMM84dv5IKjwpxX1jQCoTinmDmXzCHXk5vWWDorvHcvNS/Pofq556hfsgSA4rPOapawcOXlseULXyAwZDCnnXsueXkqFisi0pb8GTOo/NOfAaiZ+xqjLzqVurzWCYstO2uyEp+IiIiIiIj0XEpYiHSTYDDMy4+sYdNbO+Lr3PlRLr15Cv2HllK7cDuVz66DsAXAle+hz2UHkTexLMUD1ME7f4G3fguhpqmYGD8bzvoN9BmZtvcSjUb4ZNE7LHnuSbavXd18o8fNxpEBFg/fSW2+c4PqibVPcOMRN1LiK4k3y3ayIrxnDzVz51LzyivUvfMuhELNtte8/jrRhgZcuU1xNowe1c1Rioj0Pt4xY/COHEFo4ybqlyxhXCiXSIHzJ2filFDeiM1WiCIiIiIiItJDKWEh0g02ba3mvt81FdcGyB0QouzwBgqLvOx9eDX1y3fHt+UML6Lsyol4SlO4qR+NwNL/wBt3QG1TMoTCQXDmr+CQ89M2DVSwwc8Hr7/C0heepmrXzmbbIvlu3h+2h49HVBPIaXqfh/U7jGsmXUOhtzAtMXSVf8UKdt35W2ckRTTaanvOmDGUnHsOxeec0yxZISIiqTHGUHTKLPbccw9EItTPf5NhZSNpyKkjbJtGWHhbfwSLiIiIiIjIAU4JC5EMm/P6RlY8+gmlUSdpEAWOPW8E24OryPO7qPrHR0TKm6aAKjxhCCVnjcZ4XCkewcDiu5uSFcYNR38BZv0Ackv23TVF1eW7WDHnBVa8+iKBurpm22qKLStGVrB+SB1Rd2NEhpOHncw1h17DUQOOymqdBxuJYNxN02CZ3DzqFy1q1sYzaBDFZ55Jybnn4Dv4YNWlEBHpoqJTYwkLoObVuYy+ZDS1eSsIRZpGWORENcJCREREREREmlPCQiRDIuEof/3bMqIrK8nHuQFe57YcfcV4Dp/Sn8ADaxm5voBI1ElWGJ+bPhePJ//w/h07kMsFp/0Y7r8YJp4Ds34E/SekIf4w699bxPuvvcyGFUudQt4JRh5+JEeedR43fnIb2+udJEb/vP5cMO4CLp5wMUMLh3Y5hs6w0SgNH35E7WuvUfPKKxSffRb9vvzl+HbfhPF4R47AYCiaPZui2aeRe+ihSlKIiKRR3uTJuMvKiOzZQ+2CBdz60+eYv/ifBFbtibfxKl8hIiIiIiIiLShhIZIBO3bVcfedSyitiuCKJSsqi118/uajGWgMex76hDGfNE2R5B2UT9mVB+Ptn7/vHe9eA3NvhxNvgmFHN60fOwtufBsGTupy7JU7trPytZf54I1Xqa+qbLbNugyHnnQKU86+gP4jRwNwifsSlu1axiUTLmH6sOl4Xd4ux9BRkcpKahcsoG7+m9S+9RaRior4tpo5rzRLWBhjGPXQQ7hLS5WkEBHJEON2UzhzBlWPP4Gtrydn2ceU9hvIluj2eBsfyliIiIiIiIhIc0pYiKTZGwu2sOjB1ZRGnJvhFkv0kBK+/dlJ1L+xmZ3v7STxHo1vcl/6XnQQrhx3O3sEanbAG7+EpfeBjYB/L1zzfFNtCmO6lKwIh0J8suhtVr72Mps+eL/V9tq8MGuG1bJ2eC2XX3EJ/YuHx7ddf9j1WbnxH9y0iarnnqNu/pv433+/zXoUACYnh6jfjysvL77O06dPd4UpInLAKpo1i6rHnwDAv3QZRQeNblZ0OydbgYmIiIiIiEiPpYSFSJpYa7n33pXULNxNQWxUhd9lOfzcURxrXZT/fimEm26qB71Rto6s5+jzj24/WVG1Bd69C5b8C0L1Tesr1kH1Nijp2rRLFVs3s3Luy6ya/xoNNdXNtkWNZdOAetaMqGV7vwascWpTLNm5hOEJCYvuSlZYa5sdq+HDjyj/wx9btTP5+RQcfzyFJ51E4cyZeAcO6Jb4RESkuYITTqD/t2+maNYsfGPGUPnuW4SiTUW3c9AoNxEREREREWlOCQuRNKjcWc8bD66mfvVe3LEbMDUFhiumj8CzcBe1DeF4W5PrJm/aIJbWrMS2N6hi54fw9h9g5aMQbepLThGc+E047iuQU9CpWKvLd7PmnTf5+O032bl+bevt+SHWDK/lk2G1NPicBMuo4lGcO/ZczhlzDkMKh3TquB0Vqa6mfskS6t59l/qFi+j7xS9Qct558e0FJxwPbjdEIuSMG0vhSdMpnH4SeVOm4MrRc7siItnmys2l3/XXx5ffqV1G2CaMsFC+QkRERERERFpQwkKkCyKhKO+9vJH3XtpANOzM82SAwcNymepyE31ne9PsTx5D4QlDKZ4xjIAJY+esbL3DUAM8cjWsfbn5ek8uTLkWpn8HCvp1OM66yr2sWbiA1W/PZ+vHH7ba7vZ4qBzpZUG/T9lRFgADZbllXDL6LM4Zew6HlB2S8ZEU0fp66t9bSv3Cd6l7dyENH37YbJqnunfebZawcBcXM/T3vyPvkEPwDs1OgW8REUndu3XLOShhhIUHQyAYxpejP0dFRERERETEoW+IIp308usbWPXMBnz+ppvqo8t8HFbkwVQFiRJxVhrIP2ogxaeNxFPqc9b5w23sEfDmQqTpZg55feDYLzk/HUxUNNTWsnbR23z89nw2f/A+1rau8TBg9FgOOekUDpk+k1d3zeOFd3/K2SPO5pwx53Dc4OPwuDL/EVH51FNUPvKoU4ci3M5/F2OItJiyCqD4tNMyHJ2IiKTLiIFjCZodRG0El3HjNQYbtipmISIiIiIiInFKWIh00NYdtdz31+UU7QgSSz/Qz2s4emAevtoQVDVNd5F7cBklZ4zCO7D19E2uaIjBlUvAntp8w7RvOTUqjv8aHHkV+ApTjq2hrpZPly7m47fns2HFMqKR1gmAysIg6wfX84VLbmHW5HPj62fnz2bWiFnke/NTPl6qrLWEtmzBv2wZxWeeifF649vCO3bgX7q0VR/fhAnkT51KwXFTyT/6aNwlJWmPS0REMi+w/lOqn3+e05+fw/MDfISiQXzuPDzGGakoIiIiIiIi0kgJC5EURcJR7n/oQ8oX7KTIOtMjFblgQqGHYS4DtaF425yRxZScOQrfqDZuslesw7Pk35y26l5yw1UE1h0Ph53ftH3MDPjGMnB7W/dtwVrLnq2bWffeIj5dtoStqz/ERlvf/KnOD/Hp4Ho+HVxHZVEIj8vDDl/zEQs+tw/aq6nRQdFAgIZVH+Jftgz/8mXUL1tOpLwcgJzRY8g77NB42/ypU531o0aRf9xUCqZOJf/YY/H07ZueYEREJKtq58+j/M9/Jg/w9h1CKBrA587DayzhYCTb4YmIiIiIiEgPooSFSAqWrdzFC/d+SGldlFwMeQbG57kYldNYYtvhGZBPyRmjyD24rHnNh0AtfPgULLsfNr2DF2hMR3je/VPzhIUx+0xWhINBNq96n/XLFrN+6RKqd+9ss11dbjiepKgoCZLvzefEoTM5ZcQpnDTsJIpzijv7n6MVay2Vjz5KwweraFi1isCaNdhQqM22/mXLmiUs8g47jHHz3sA7cGDa4hERkZ6jaNYsdt3xKwDKakOEo85IRI8xhIMaYSEiIiIiIiJNlLAQ2Ye9VQ38++73ca2poRSD18AEn4vRue5mgxHcJTkUnzaS/KMGYlyxRIW1sOkdJ0mx6ikI1TXbdxQXO0qnUHbKj5MObKipKGf90sWsX7aYTR+sIBwItNmuz+ChVAyBl73vsbNPgLK8MmYOP5dTRpzC1MFTnVEUXWCDQRrWrMX668k/5pj4emMMFX//B6EtW9rs5youJm/yEeQfeWR8REW8r8ejZIWIyH4sZ/hwfBMmEFizhoGVYULW+X+Y2xi27aql79DUpz4UERERERGR/ZsSFiJtCPrDLH9tM289/ym+KLgxjPG5GJfrIidh5ITJ81A8cziFxw/GeFukHd76Lcz9Seud9zuI0KGXMbe8PwFvKbOHHNWqSc2ecrZ8+AGbP1zJlg8/YO/2rW3GGTGWoQdPYuLR0xhz1NH0GTyU93a+h2vzG8waMYvD+h2G29W5eZ7Ce/cSWL2GwJrVNKxeTeCjj2lYuxZCIXyHHMyYJ55o1j530iQnYWEMOaNGkTd5MnlHTib/yCPJGTsW43J1Kg4REen9ik6dRWDNGvJCYULRpqT7zl11HJbFuERERERERKRnUcJCJEHAH+b91zazYu5mAvVh8oFhOS4OynWR50qY4snjomjaEIpOHoYr3ws1OyFgoHBAU5uJ5zYlLHzFcOhFcOTnYOgUwg0NBObMiTetqSiPJSdWsvnDlVTu2N5ujP6cCJsH+NkyoJ5t/Rq4fcYNTBl7Xnz7lIFTmDJwSqfef/3ixZT//R8EVq8mvGtXu+0Caz8hGgziysmJr+t73Rcpu+pKfAcfgruwdZFxERE5cBWeMovyv9xFXjBMKDYlFECoru3pA0VEREREROTApISFCLCrvJ6HH/wQ3/o6Ig0RBnoNQ/PdDPQaPIm1KAwUHD2IolNH4AlthqV/ho+fhy2LYfp34JTvN7XtPwGm3ghDj4KJ50BOPgA2GmXvtq1Ur1+Df9d27n/1Gap3tV2HApxRFOWlAbb3bWDzAD81feCoQUdx8ZDjOX7w8RxUdlBK7zHq9xPcsIHA+vUE139KYP06+l53HXmTJjW1CQSpe/PNtndgDDljxpA76RCnTygECQmLvMP0jKyIiLQtd9IheAYNIndPBXUJIyyiSliIiIiIiIhIAiUs5IC2c3cdD93/IXZNNcPcLobmuBhU4sGbmKSIyT2kjJLJdXh3PQD3PQ/la5o3+Pj55gkLwJ7xS6p27mDHkiXsXP8JO9atZcf6tYQbGtqNyeX2MHj8BJb7NrDU9yl7+oQZO2ACxww8hhuHnMCRA48kz5O3z/dVv3gxgXXr4smJ4Pr1hLZta9Wu4PjjmyUscic6yQ9XSQm5Bx2E76CDyD1oAr6DDsI3diyu/Px9HldERKQtxhiKTjmFwH//S2XCCAtTV5/FqERERERERKSnUcJCDkjbd9bx8P0f0H9DHUd73Awu8pLjap2kcOV7yBvjIt/1Er5tD8ITO9reYf+DsRPOpHrHVnZu3MDOdWvZsf4TdqxbQ7B+3zdjIi7L3j4Rzp5xFSMOOYzB4w/C68tlzPZFXECUw/sdTr63KVFgg0GCGzYQ3LyZ4ObNuHLzKL3owubv7/s/ILhxY9L/DsF165ste/r1Y9y8N/AMGIBpI2kjIiLSWUWnzmLvgw8SjTQlLFx+fxYjEhERERERkZ5GCYsExphjgNuBEwAvsBL4rbX2kQ7swwfcAnwOGA7sAZ4Dvm+tbb8ogGRcNBrl9Tc3s3HuZsbWhDnX68JX4G3VzuS6yZvUj/wj+uMbW4JZ/Rw88tv4dmuhKpRLRfFRVOQfTEW4hB2bdlP57jKiwRuSxlGbG6a8JEBFSZDdfQK4hvThiCFHMvm4CyjMKYy3mxwaRP3SpdRvX0bVtu0EN28mtHkzoe3bIRqNt/NNnNgqYZEzZkyzhIWrqAjfmDHkjBlDzpjRzuvRY8gZPqxVfN6BA5O+BxERkY7KP+YYXEVF2HBiwqL9EYciB7p0fDcREREREeltlLCIMcbMBF4GGoCHgBrgYuBhY8xwa+2dKezDBTwNnA68CzwOjAeuA2YZY46z1u7O0FuQdlRX+FnxzDoaVpYzyuPiIJcBn7t5I1eYvPxV5AefIffsqzDHnECgvp7dmzdQtbeQPRWj2BXMZ6ftS3WdwYZtrOOaVsdL5CsuZm3uDipKgpSXBMjpW8iheaM4KjwA80klg7Z6OKxuEPbtcnwT62FAU8KibsECdtz+k6TvL7RpE9baZiMiSi+9hMKTT44nJ9x9+2rEhIiIZJXxeul/07f49M218XUuv6aEEmlLOr6biIiIiIj0RkpYAMYYD/APIApMt9Yuj63/CbAI+IUx5jFrbbI5dj6Pk6z4L3CltdbG9vNl4C7gZ0DyR/Cly0LBMBvnbaVy4Q6KqgOMdhnIaZ6kiNoIhuVEoguo9K+maq9hdziP6rsfx//XF2morUloPTzhtaUli6UhJ0zJoIEcdcxsBo4Zz6Ax4/B63Cz//KUUfOjGszeCrd8BNJ9Wqjr2u+yaz+MdMCC+3jNoUKvjuIqKyBk+HO+IEbHfw8kZPtwZ9pGQkCg65ZRU/1OJiIh0m7LPfhbX+7+KL5uQRliItJTG7yYiIiIiIr2OEhaOU4CxwD2NXwgArLVVxphfAPfiJCOSPe5+fez3/zYmK2L+BnwXuNIY8y1rrSZszoBoNMriuRvZM38LoxoiFLndDAJIqE0RtRF2Btazqe4DttRsIGwbp6UYkbCnCM5DbG2wFk80RF4oSLE/RJ/aIKX1QQoCIdzWErz0EI647Kqm5pEIxau3QTTaRpqjudC27XBU03LuIYcw8HvfwztkMJ5Bg8kZNhR3aWnK/z1ERER6om3eWg4JxRbCoX22FTlApeu7iYiIiIhIr6OEhWNG7PecNra9HPt98r52YIzJBaYCq1s+7WSttcaYV3BGVxwNvJlqYMaY1kUGmhva+OK5P/6NviV9wEaJWrDWYqPOo1lYsFHoM3AERSX9nJvn1lJbVUn51nVYLNbG2tnYa4DG/hiGjjoUt9uNjbUp37kFf/UesCbhZnzsdbQpSeBy59B/yOjY/p2Ydu/YiI2EAOMck1h7a+L7wYLHl09RQTGucBh3NAzhMDbgx2tceIwbr3HhNR68xkOO20eBu5B+QG3sx3kLUXY3bGFb/Vp2+D8lFG2aO7tN1lJQ1pfCsn4UlfWloG8/yl9+iqGf7CQvGMLdIvNQH/sByN/lZ+3atc227y4oIBoI4C4rw9WnD54+fbAlJWypriZSUsyEqVPJHTqUXX37sqtFX44/LmFHu50fyYpAIEB5eTkA69atw+fzZTkiSYXOW++k89b7dOScVUUCbK92ynpVB6p46nd/oz4UJtpQh7ERAPJceXiMCzxuTEEBARuiIeLH43aRGzEk/glb4w/gCtUBYDAUuvOdDT4fJtdHXdhPmBC5HheegAG30zccieL3N+CKOqM8vMZNrivX6VuQj/F4qArXAJYCt8FEcuLHbAhFCDfUYWwYgFyXD6/xgAFTXEzYRqmL1OIyhnzrahZvXSAMAWe/AAWufFzGgNeNyS+gIRokEG0gx+MiJ2TAOH2jNkpdQxBXyPmrw21c5LvynJ3m5mF8XmrDdUSIkOc2uMMeMC4AQuEogQY/JhoAIMd48bly2Ll3T+KpaTFfpmTRjNjvTn83SdSR7xOffvopfn/qz1aFq8tTbivZ0/L7Saboeuj5dC1IIl0P0qi7rgXQ9dAbdOR62LGj2Swyafs+YZoPBDgwGWMeBS4BjrbWvtfG9hpgr7V2RKvOTW0mAR8Az1lrz21j+7eB3wBftNb+qwOx6QSJiIiISKYdY61dku0gJD3fTVq01/cJEREREcm0tH2fcKVjJ/uBktjvqna2Vye06co+EtuJiIiIiPQUA5I3kW6Sju8mIiIiIiK9kqaE6vmGJ9k+AlgQe30csDWz4UiaDAIWx14fQ8tK3NIT6Zz1TjpvvZPOW++jc9Y7DQXejb3+OJuBSEYl+z6RA0wEdgG7cQq6HYj0OSaNdC1IIl0PkkjXgzTSteBwA/1jr1ema6dKWDgan15q70mlYmBvGvaR2C4l1tot+9pujElc3JqsvfQMLc7bDp23nk/nrHfSeeuddN56H52z3qnFeUtS5Eu6UTq+m8Sl+O9xfar721/pc0wa6VqQRLoeJJGuB2mka6GZjcmbdIymhHI0VhMZ33KDMWYQUJjQpj3rcepTt9pHi313XyUbERERERHpbdLx3UREREREpFdSwsIxL/Z7dhvbTm/Rpk3WWj+wCDjIGDMycZtx0m6nAXWAihmKiIiIiEh7uvzdRERERESkt1LCwjEXZ4TEZ40xkxtXGmNKgO/hDJH/T8L6wcaYibHtif4e+/1L03xs0A3AGOCBWGJDRERERESkLR36biIiIiIisj9RDQvAWhs2xlwHvAzMN8Y8BNQAFwMjge9YazckdPkl8HngWuDehPX/Bi4HrgBGG2PmAeOAi4BPge9n9p2IiIiIiEhv1onvJiIiIiIi+w2NsIix1r4OnAgswEk63AjsBD5jrb0zxX1EgfOBH+NUSL8JmAbcDRxvrd2d/shFRERERGR/ko7vJiIiIiIivZFGWCSw1i4Czkyh3TXANe1sCwC3x35EREREREQ6LNXvJiIiIiIi+xONsBARERERERERERERkawz1tpsxyAiIiIiIiIiIiIiIgc4jbAQEREREREREREREZGsU8JCRERERERERERERESyTgkLERERERERERERERHJOiUsREREREREREREREQk65SwEBERERERERERERGRrFPCQkREREREREREREREsk4JCxERERERERERERERyTolLEREREREREREREREJOuUsBARERERERERERERkaxTwkJERERERET2S8YYk+0YpGfQtSAiIvui/0/0HEpY9GLGmGOMMS8YYyqNMXXGmHeNMZdlOy5pnzFmgzHGtvPzRrbjO5AZY64yxvzNGLPEGBOInZNr9tG+2BjzW2PMxlj7DcaY/2eMKezGsA94HTlvxpgf7+PfnzXGjOre6A9MxpihxphvGWPmGGM2GWOCxpgdxpjHjTFT2+mjf29Z1NFzpn9rPYMxJjf272a+MWabMaYhdt4WGGOuNcZ42+ijf2uyXzHGGGutzXYckn26FkREJJnG/08YY3KzHcuBzpPtAKRzjDEzgZeBBuAhoIb/z959h0dVbX0c/64kNEFsiIiiqBT12rtiARv23nvvXnvvir33clWw67Vefb12xe61YkXFgr0gotJLst4/1j7xMCSQQJKZwO/zPHkmOX1yzsyZ2WvvtWBb4D4z6+Lulxbz+GSq/gSuqGH60KY9DCnQD1gY+A34Kf1eIzNrC7wILAc8DdwDLA8cC6xjZmu7+7jGPmAB6nHecm6j5tfbHw12VDI1hwMnAF8Sr59hQHdgK2ArM9vF3e/LFtbrrSTU65zl6LVWXO2Ag4E3gceJ8zYXsDFwK7CTmW3s7lWg15rMnNzdzawXsC9woLtPLPYxSXGka6EMuBh42d0fMbOy7D1QRGYtWU96BTIlL10X5wKtzewkdx9f7GOaVSlg0QyZWQXwL6AKWNvdB6XpZxNfSs8zswfc/ZviHaVMxR/ufmaxD0KmsB8wxN2/MbMTgfOnsuzxRIPOhe5+YjbRzC4gGvWOmsb60nDqc94yA9x9YOMelkzFm0Bvd38xP9HM1gKeA643s0dyHw71eiu++p6zjF5rxfU7MIe7T8hPTJ8jnwE2JIIXj6dZeq3JTCdd7zcCSwI3AG+qp/0sbVfivWxh4BEFK2ZtCljN2vI96bMOGWbWQoHtWd6qxOfeT9z96GIfzKxMKaGap3WBxYC7s2AFgLv/CZwHtAT2LM6hiTRP7v5sXYJ8KeK+HzAKOKdg9jlp+n4Nf4RSk7qeNykd7v5QYcN3mv4y8ALRA3xp0OutVNTnnEnpcPeqwmBFmj4JeDj92Q30WpPmL+spWzCtPF3vt6dJG4F6084KCq+H3N+PEqPdlzCzbk1+YFJSFKwQMzudyFKyOIC7T7QwW5EPTRpZGnFXk7eAd4F/mNmaaVnVtSgCBSyap97p8eka+SolLAABAABJREFU5j2VHtdpmkOR6dDKzPYys5PN7LDacrZLyeoOdAZedffR+Rnp71eBRc2sSzEOTupkbTM7wcyOM7OtlJu9pGQ9mialR73eSl/hOcvTa60EpS9oG6U/P0qPeq1Js5V6SU+WczpNq0yLvAb8BfRIqc9kJpVP8WJmLbPp6W8j0ik/BXQi3vNkFpIaostyfy9jZreY2bLFPC4pDjNrA/QANgdWSNP2AiqBfxbvyKQx5e4TVYWfCVJHh0oi7T6kdlV1dCgOpYRqnrqnxyGFM9z9ZzMblVtGSk8noH9+gpm9Bezs7l8W55CkHmp9/eWm903LfdckRyT1dVbB33+Y2RHufnuNS0uTMLOFgPWJWiQfpsl6vZWwWs5Znl5rJSA12p0MGDAPsB6wONDf3Z9Li+m1Js1WanRYkUjh8I6ZXZSmZQ0PvwE/AH2I14EKMM+kcoGrs4BFzOwqd3/bzCrcfZKZTQAGAzsAywAv5a4TmYnlzrOn3vOtiVpcewOfm9mX7j6qmMcoTW4ccCqRAuiUNNqiB/A8MFgpw2ZOufvEScB+Znaiu9+fPhdk94J3iI4Oi5tZK9WxKA6NsGie5kiPf9Yy/6/cMlJa+hMNBfMBbYlilncAKwPPmdnsRTw2qZu6vP7yy0npeB/YB1gUaAMsQhQTdmCAmW1RxGObpZlZC+K9sBVwQu7Dol5vJWoq5wz0Wis1LYEzgNOBQ4GewCXAAbll9FqT5u5BYDviGj8mTasCcPdPgU+B+YFNi3J00mTMbA/gNKJexWVm1jYFK7Ig1atp0V0AFKyYNWTn2cxOA94g6jdtQLxPbEfqYS8zv4Ji26OJUcI9ic84RwG7u/t/FKyYeZnZOkRh7UWIWnyrM3n7+M/ppy/QIq2jtFBNTAELkSbk7me5+/Pu/qu7j3H3Qe6+B9HoszCwf5EPUWSm5e4Pu3t/d//a3ce5+1B3vwbYPi3Sr5jHN6tKQ/MHAGsD/3L3O4p7RDIt0zpneq2VFncf5e4GlANdiAbd/YCBZta+qAcnUg+11alIv96cHj8ALjCznYmAauau9LhOKqqq0RXN3FQaj54HfiFGUiwIPGBmC2bn3N2fJQJY3ZSad9ZhZgua2TPE6M93iNRgjxA1mlYEtjOzeYt3hNLYsvtFwfv/dkS76G9E8OoTd/8pLa8G6mautjoVqTbfp8DnxP3iTmCL3PxPibSpHYAtG/9IpSYKWDRPWe+32nq5taf2HnJSmm5Mj72KehRSF3V5/eWXkxKXUqJ8CSytxrumlT5E3kr0crwTOKhgEb3eSkwdzlmt9ForrlSE+3t3v54YXdELOCXN1mtNSlo+hVPW6FSQvuFjouHxDeJz9b+AvXKb+JRIZ9YT0IjmmUCqS1FTe8ZEomBqGXAEMbr9EjPrCdVp8v5LvK8t0ESHK8W3Tvq5nhgZeqa7XwpsC7wN7AasUcTjk0aS1S7JjbJZ28wON7PV0meiHYFjiSwYO5jZfMU8Xmk4KT1kdT2jdC1kHR0eAuYk3gOqgIvMbN3c6llHh9XMrKU6OjQ9BSyapyy/8BR1KsysE9CO2nMQS2n6LT2qEGDpq/X1VzBdr8HmJXsNzlbUo5iFpEaG/sCewD3AXjUMvdbrrYTU8ZxNi15rpeHp9Ng7Peq1JiUtNU4vYmb/BnZONQnczLKajF8T7y8LESmh3gfONLO90/zfga+IkWHtofael9I8mNkxwDW5QETWe/oXIjg+BxGoOoRI63F1mj8hTW8JrJlfV5q3afSI3yM93uDuv2av/9SZ4gIibeU+Zta1cY9SmpqHKjNbysyeBx4j0sadluoTDAIeJkbc7ACsm61XpEOW6VT4HmBmBwOv5dLR5js6vAfMS4w+3p7o9HCnmS2ftjMY+B5YgslHbEoT0Ye05unF9LhhDfP6FiwjzUM2HHloMQ9C6mQI8CPQy8wmCzClv3sBX7u7ipI2E+m8/YPIYfrbNBaXBpBr+N4DuI/IFVtTDmm93kpEPc7Z1Lah11rp6JweJ6ZHvdakpNQSTNiRSN9xAX+PnsjqVAwiGhZWACqJ0V/vAdea2ebu/jPwGpEabce0jvKTNwMFPWKzacsQPeIPAs42s/buXpkLYD1J1CxZwd1vBi4C1jSz29MIv2eJBuqtc+sq/UszVUuqn+p5qe7WaKJB8uc0y3Pn/BXimukLbJjvkS3NW3aOU5rA54hRVZcTgYmtsmLK7j46TXdgdzPrltarqGm7Ulpyo2g8N60j0I34XHCtmfUouO9/RrwfbJs+QxxKvEfcTgStvgK+Tb/Pm7apNvQmpH928/Qc8eLZxcyWyyaa2RzAycAE4kUmJcTMFjezKXqUmtniwIXpz7ub9qikvtJN8GZiJNNpBbNPS9P/1dTHJVNnZrObWY8aprchztfswL/dfVKTH9wsJpdSaA/gfmC32hq+9XorDfU5Z3qtlQ4zW7KWzx2zAZelP/8Leq1J6ckaFcxsFzPbIE2+CdiZCLhdb2brFDQ+3A4sC3R19w+BE4C3gFvMbBvifQxg5fS9SZqB1Du60sy6m9lRadoHxLXwHNEz9so06ia7t7xApADL0nvcRKR82Q24EhhOBN+7kEZZqDd185RPDWdmfczsJDPbMWtwdvdKd58IjCfSv2yUrZqra/IrUdeiJXE9LdXET0MaSRqJNztwNDAGOBzo5+4D03WR9w7xXrEhsLmZlWfvKWY2d1Met9RPbhTN4mb2rzTtV3c/hhhdtwAwwMzWzq3zEVHDYgUzm8fdXyM6NHQEriNShD2ZFt8praOODk3IdF9unsysD1EoahxwLzCSyL22MHBsyscoJcTMziRulC8B3xC9PHoAmwAtgPPd/eSiHeAszsz2I31hAZYmIvGvAl+kaa+kHlpZb9NXiS/FTxN5clcgPty8Bazj7mOb7uhnXXU9b2l491fE+RlM9KaYD1ifKMj4IdDH3Yc33dHPmtJ74RlED5YrgZoarh9JPV30eisB9Tlneq2VjtznjleIEZx/EV/YNgbmAV4G+mavH73WpJSkwOczRIPyU8DmuYaj44lRFl8CJ7r7g2n6WsD/AZe5+1lpWieiCPM8RM2WXdLvm2nEUPOQekhfSAQcxgM7uvujad5CwOPE6L3LgWvc/esUkLqauPcskvWiNrPziAbLp4jr61rgMHe/ITV8q3GkBFnkj5+QelBnwcyK3HvC/ETtms1yq30G7JsaITGzvsATxOiabdx9VBqZUebuEy1y1z+b1j0TuMTdxzTF85PGZWbbEwHKA3Lf52t8vVukmHuM6AR8MJFecHNgd+J+M6ipjlvqx8z6ER24AY5y9yvT9DmAc4j6be8DR7v7q2ne/kRdmyXcfUiatj0xKm8YcA0wgGhzPczdf2+yJyTg7vpppj/AKsRN908iWvw/4gNc0Y9NPzWer3WIG+Xn6ZxNBH4iciVuWOzjm9V/iBuRT+VnQMHycxBfjL4lPtB8A1wCzF7s5zIr/dT1vBH5qq8B3gR+Ta+/v9L75nFAm2I/l1nlpw7nzInaCPl19HprJudMr7XS+QFWInoKfgSMSOfiN6Lx9gCgooZ19FrTT0n8EKmfqtJ1OxzYOzevnGiU+J2oXbF9mt4FGET0iJw9t/w6RIBuHBHkqALWSvPKiv1c9TPNa6ED8Ho6b+OIAEWb3PzexEiLSUTqwqxT5knEd66tCq6dC4jvztm18EiaZ8V+rvqZ4tyXAZcSgaWa7lkV6fH89F5wJrAN0C+d28+Adrnln03TTynYjqVr5xWic+GXxEitov8P9NMg19Fl6bxvmb9ualnWiFptVUSnm1eJjqZjgFWK/Vz0M9XzfGM6byPSOWufm9c5vU9UER2q5k/TexHfU84uuAY2Tuf/B2As8T2mY7Gf46z2oxEWIiIiIiIi0qSm1qPdzDYjgqWvA5sSjQVbeRRUJtUh2JVoyPwT2MDd3zazm4jRyxu4++Dc9lYlgnGrpUk3uftBjfLEpEGlegJPEanp2gE9gYPc/abcMv8A7gKWAa5w96NTSqDPicDFxRDpPMxsPqJB8oLcbrq6+7dN8Xyk7sysNdFo2BJY093fzc1bjxglczawVvr9cv97NM0lxCjD8939lDRtWSLtTxlwFFFouS3ROHlA2tZ8RJBkJ3f/t0beNF/ZiBwzO5IIWhwGXF94PvMjd3LTziBGmM4O3ObKYFJ00/jMUEYELPcl3vfXId3n8+uZ2V1EOsFniLSRXxGfM74Bdnb3P3Pb3IBIhds+TVop/x4kjU81LERERERERKRJpOKYkzU81FDI8gWgDdHj+VZgVWC/bKa7/+Xu1xNpG+YAbk0pXe4gelIulLZbkZb/H7A/0fPydv5OGyFFZgUFtQvmlbn7BKKA+jxEAxPAwWa2YLa+u39M1Fn6CjgypQYZSaS365tvjHT3X9z9IiLA8Q2RHkjBihLk7uOIgOVeNTQUlhO9qI8jggwXuft4+7tg9r+A14CjzGyptL33gQOJERSXE6kPXyFGEn5OZEMYktZfOa2jYEUzlXvdf0tcK734u/G5uiB3Cmq0NLM1cuueRQQsVsmCFaYC3EWT3udrC1ZYOtffAK2AO4kaRgeY2VLu7in4CXA8cAuwHjEivJxIJbks0Klgm88QKXGfAXZVsKLpKWAhIiIiIiIiTcITM1vBzA5L0woLWbYh0rmsSTQYjAP2N7NloLrXPcC5RPqXbkTNgmWJxu090nazHPdlqVF7cXffy91/ryFIIkXgUVC7zMwOM7PFC+Zl18XnRK3Gb4mG5mWBg/LrexTi/icxGud4orf8q8CqZrZoapQsy533/d19EXd/pLGfo0xdFrTKGpDz3P3VNNJhwTSqIpv+NNHw2IIYZdUqNWpOSPM/A24DKoDTc+vdQtQ2uZoIaL1CpNXewqN4d9awmQUupJnKXU/vAm8QqQa3zBqvc73uuxCB8SvNrF22vruPdvdxZlaeGrBrquEmTSB3nzjPzDbIvWeU5QIZrwBzE2nXT0nTrkrrj0vn8AfgLOBmYA3gISKV5PxEWsns/Si7dq5z977ufk+aN8V7lDQefUgTERERERGRJmFmrVJahreBq8zsVDPrmuaVA7j7b0Qj5ALAH0QP6IWAQ9L8CalxciSRvuVcYAkiuNEO6G5mC2f7zBq+3X1YGuBRXkOQRIogFUMeQzQs3W1ma+bmZaMvfkmPPYmG5lHA3ma2cpqeLfckUSj3F2JEzU5EfvLNIK6D3HnPUgep13SRpUABpGBBrjc06e/5iFER15pZ99ys69P01YAuqVGzPBeUegj4D7CdmW2ctlXu7t+4+xHuvou7b+nu96f3hfWJ4rw/EHVRpBnLGrLdfSiRYvBX4l7xTzNrYWZzmNlGRHq4vsS1MkVQwt0rNdKmuMxsHaLjwolEvZkzYIrODhVEbasNiRF0rwO9zWyb3Hzc/Xvis8QTROqoM9P83dP8ytxnholp/9lnE10HTUgBCxEREREREWlwtfRGnJuUsoloGDwNuMXMOuUaLiF6xy9CFIC/mOhdv1vW8Jhx9z/d/Vyix2QZ0D39LFLTMaUBHpU1zZOmlRqWuxA1Cn4FlgIGmNk/YbKG7DeIAMP8qfHxIqJHbDZCZ2KWh97dBwF7AV8AixPpgrqb2Wz5fecaM9VrusjMbEUz+wu4EqpTQWFma5jZfB61a64BehBBKNJynwE3Eb2hz0qTq9JoGnP34cQoi1+AM8ysTU2vfTNbnUg3dhXxvnEpUcRbimxqKePquH52D3qYqGczJxGgGAK8BdwNbE2kFOuXXXtSPLV8bviOCDiMBCYSaQFvTsFMANIoyhFE8NKJjg4Q9Uuy+0S+w8KxxPtDFgRdKY22mYI+MxSHAhYiIiIiIiLSYFKjQD5VQ74R4mcijdM4In3T/URKpycKghE/EwVPe6eRFGcCswGHmVnr1Jvacg1aZxBBC4hgh/JNl4isx3thQ1RqNHqUaEwsI3pBfwVcbmanmNn8adE2RHBrrfT3pUSaqB3NbKvC/bn7c0RKkE/TpCfcfUwDPiVpWL8QPdu3MbP5zOwfZvYpcC/wj7TMBUSj5e6WqzVA9LZ+kbgWeqV0c/lRM08CjwGrEPUwqlnULXgQeIRIGzWKeL+5QiOwii8FnSrT771SYGvR/PxpbSMXmBzj7ncStQvOJgIWnxPvOYu5+8Vpm2ojLZL8KAYza5GbXuHuXxHvAbMT6SIvBvYB7jSzpXObeRtYLm3nYeLzxUJmdlKaX5ZdU+4+mPjc8Hiad6q7f9dIT0+mg2lEi4iIiIiIiDSE1Hsxa2RaCTgaONTdR+SWaQ9cAexAND4PJApltgSOc/cBZtYbeB7Y2d3vS41TzxMpHA5y95tSg1Y+KDIP0CH1vJYiq+H8VNQ0oiGl4vkP8BJwLbAucCTwX2B7dx9rZm8SqaO2cvc/zGx7okjy88DW7j4yNTZ6rtF6MeBzpfEoXdn7hZntRPR2/x5YEPiAqCtwj7sPS8vuR4youBE40t2ztF7bEdfCIHdfMbftsjTaYnmi1/WjuXmWrpMtiALbb2Xzs4ZwXTdNr/B/b2YrEGngViFSv00gesVf4O4zNAomjbgZm34vJ0bn6Jw3sRruExcSnRP6ufsvuddxOVGfogNR32oh4DoibeQB7v6smV1KBDI2cPe302v/RSLo3Tmlhaz+jJL21xoYr3NfehQ9FBERERERkRmS9UxNjY9zmNltwJtAH6LhuJq7/0U0TI8kCqF+A2xMaqQ0s3OIhonviNEXWQPWaWkTB5nZgqnBsTy33eHu/lnByAspklyj4/Zm9jTwtJn9x8w2LugF/wbRU74vsJy7H03UEtgAeMbM1iZGYSxO1DbB3e8nes+vC+yZ22V1qid3/6yGHvdSWrJGwiXTY2fgAWBzouDtsNyytxGjp3YkN1rC3R8A7gGWN7O9oDo4luWhf68wGJFb91F3Py03vyyljVPjZRFk/3uLAssLEIHstkTQoh9Rl2B/4PbcCKzp3VcWrChz1alocoUjMc1sZzP7HjgOqASy129Vej1XAsek1c9w93uBbYgUUfeb2T5E0Ls9MYITd3+PSCdXDlyY1i08z+N1nyhNCliIiIiIiIjIDMkaB83sBCLFy6ZEA8GWwDs1rPIhEbRYguhNP5hopLyPyC19F9HIsEouGPIKkfZpubRMjbmlU5uXck4XmZl1MLO7iXPaEZiDCDA8DlxtZq0A3H0U0XP+W6KY9irufgbRMN2TSOuxMdHrdq3cLk4jUgkdbWY9a2twrGlUhxRHFjDI9aTPUi/NQaRzKQMWdffv3H1SvhHRowDuGUQdgj0tl7+eaJT8maiHU+NInrQNzz8WHpcrFVTRmdlxRD2Tk4i6BYe5+9HufjpxX3kY6AWcnEbVzRCd8+JI9+kqM1vWzF4n7vmDgZ2Bc/PByuz17O53EB0hNjCzfd19ILAV8d5xM/BPoqbNyrldXZ62u5eZrVl4vvNB7kZ5ojLdFLAQERERERGRGWJmq5vZt8B5wEPA7sB57v5mTQ3J7j6BaKAYRDRMb+ZRZ2B/oiftEkRv6++IhurMBemxQ9bgLSVru/RzBbBDStezOtFL/kDgrFwv6c+JXtSLAPuaWXt3fwTYj2igWhP4i0gJk6UReYcIhnQlGrGlRKXe1BW1BQyIxum1iLoVK5jZUWl6YePi80Sv+82Iayub/gbRkP09sHBd6hsUbFe965tYGkVhBdPmJALX+xLp/25NgWrMrFW6R5xDpBHcnVSvQJofM6sws+uJWlZzA4cTwan7/O80cNUBzlzw8oj0eLyZzedRi2Ifoq5FHyJ1YLZeWdrWv9I6MxzgkqajGhYiIiIiIiIy3VIO6POJhoS7gZPd/ds0L8s/3cpTzvncemXAbkTh0weBI9z9xzRvU6LB6l53fzdNy/LOL+pRhFNKUGpkak+kbFoQWDhdA9n5W4kofLs2cJK7X53WW5hI7dODaLi6N21rtrT8e8AjaURGtq/ZgQmF15aUDpu8rk07YC9gLmA48Li7f5O7NpYGXibSxa3i7j9l7yG57fUA3gI+InLXf5xtO39tSOnKj4Ixs7mB1u7+Y7on9CJGVXUE9nf3W8ysRRphk61/GHAVcKW7H1V4jdSwv+o6CWbWkqhXMSk/XZqWmXUA7iBSAZ7s7hfUsMxcPnn9q+zzxO3EZ4cL3f2k3PwDgWHAC+4+ouC8T3YNSelTwEJERERERESmS0Ej9JXA/EBvYmTEssCqRMN0R6Kn/H/c/c3c+h2AW4ANiUK6N+bmTbWBwQqKZ0rpMLO2wMdEmp4+xMiILAWIEdfEfUStkoPc/X+pB+02RNDiceAQd/8+ba8FUFlbo+TU0gBJaTCzw4nA0+xEjvoWxDVyRBo5kS13HnAicK27H17T69zMTgfOBC529xMK5ulaKFEFDchtgVOJwLQBe3nUIGpHjLg5iahbsq//nXIwu990B94HfgCW8VSPYhr7KyPuR72BN939uUZ8qlIHZrYW8BjwAnAoEajcmBht1Sf9/Rpwj0cR7XKPOlkdgR+B0cBa7v5B2l6NgavcdaP3hmZEKaFERERERERkuuR6p75DpHPpQhTN3JkopHw90UC0BtEANdDM9sut/xvRU3YSsJuZLQHVDQ9T7Q2pYEVxWN0Kms9G1DKZ093HehS1zYqoOvA/4tpYFtjMzFqmhqTniKLLGwFbZxtz94lT60GtRqjSZWbzmdnNRIDhOSId2LJEcGoe4PzUcJm5CPgC2MfMVsuNzpjHzBZNy1xFjMy6kQK6FkpXLniwK1GzZj9gFPAKMD4tM4oYqfcFEWBYJa1TneYH+DL9/A5MqCG1VFaTJNtfd6JW0q3AucBCjfcsBep8n3ib+JywKXEtXEAEqXYkalh1BY4CHjGzVfm7EPevwOlE8PPEbGO13SNyqej03tCMKGAhIiIiIiIi0y3Xi/X/iJ7xhwK3E40LGxENTssRDRKtgavMrFtuE28QjRZrANuDCqGWolwjYKWZtTKz3c1s3jRvsraFlDf8F6CHmW2RlinPzR9HBCY+J66RhdL04UQti1HATma2bE3bl+YhnbeNgG2JAMMJ7n6Lu39KpHT6E1ga2MPMZgNw9z+AC4E2wAUpULERUQvlMjNbwt3/cPd93P2rwsZqKW1mti5wKVEIeT9gJ3c/zt2H5hb7jCikvjh/17TJVBE98Bcnetl7Pq1TwaiKjma2CxHYugT4FVjO3fs3+hOdRdXzPjEWuIkIXp1JpIu7mDi3axABi6uADml+19y656X1dqrpHiPNn276IiIiIiIiMt1yvRe/Bv4NfAhc7e4ruvvT7v6Duw9x91uJotytgWOgunFpNNFo8QtwTOpJKSUm1wi4A9Hw158aAky5RqPb0uOBuVQe+cblb4k6FysyeTHUd4giqasDu6drRAGsEpY1RBYGD9J5aw2c7+7HuPuXZtbSzK4jglUVxOt+G6LYcrbeLUQdg7WJhu1/A7sCr3kU2a3er2oQNB9m1go4nhiBdYK7/8fdf7ckWy71hH8AeJEowH1pGqkzp5ltApxFjMq7vvC9IaX+aWNm6xON3wOIujg7uvs6WfogaRx1vU/kfAFcTgSpNnb30939d+APj9pEFxPpAzcAlknbbpXWPTo9npHeCzTqciaigIWIyEzKzHqbmZvZmY24jzPTPno31j6aCzPrmv4XA+q53vJmVpl6/5QkM9svHePSxT4WEREpTbnGpqeJoMTlaXrWkFmR5l9D5K/f2Mw65BobPyd63V7i7v9rsgOXOjOz9mZ2NHAz0dA8EdjRoghy9bnOGo3c/UEi5cfGRGMzRK560vyRwCfpzw1z08cCdxJpYW5Rg3TpMrPyfECpoKd7FrgaQPRux8w2JEZW7E6kBNuNSCE3FxGcWjC3+VOIwObradl53P2i/P4VyGp25iWCUM+5+6tmVpaNiKjhdf4TMapmIhG0eIUIZt5IBDmPd/enC3eQvq+cRryH7Az0c/cF3f3+xnpS8re63icyKfXjw8TIzDcL03m5+w/Aq0T7dd+02oQ07yFiBMb+ei+Y+ShgISJSIsxstdTg/WQt869I8z+tZf6Raf45jXuk0y91ntnNzJ43s+FmNsHMfjGz98zsOjNbp9jHWASXAZ8Seb8blZmtlK6Rw+q56m3AN0QPFxERmYmZ2fZm9t8sSF3XVDy5xoXfgAfc/dv0d9aIUJmCFuOINB4/Ab/nGicmAJe5e8l+jhHWJhqRRwHbEaMg1iIaBQtHWWSBibPS4zFmNr9H0e1yM2uZpme9nX9L62VBjw/dfTd3H6yUP6Wh8DxkPZpTj/Y1zOwmM7vVzK42s1Vygavx6bx3AE4mghPHAKem4GRWPHlFYIds++7+hbtfDuzs7ie4+wgzq9D10Ky1JEbctDSzNu5eVVtAMk1/mQg8TCBGYx1H1Dno6u5Xw5TXJREcPZEYndHZ3c9ulGcitanzfSLj7j+6+/PuPq4g6JndJ37LP6b3nPL0+5Hu/m5dP6tI86ETKiJSOt4mbuy9cr0Q8/oADvQ0s061zAd4Pj2+CSxB9GQsFbcCdxB5rB8nelLeA/xB9JzZv1gHVgwWOVx7A5c2Ua+QLdPjf+qzUur5cjnQ18x6NfhRiYhIKVmFyDm/HUxfD+bCtAy5HrSTgDWJwtw/Ep9r8utlqSTUIFmaRhGf41Z39yeIhqifgF2yzwe5gEMWwHqcqGeyNNFJg9TIPSFtc5P0+E2aN9n1ppQ/xWVm82fntvA8pCDEXGZ2O9H7fXNgC6Kn9BtmVthQvB3RmHmhu9/k7iPS9DHAHMDcRC2LldK+s2DmmPR3mbtP0vXQrI0jRtgskH4mU8OIvBFET/2xwGLAIHe/1t2H50b3FN437gGWd/cdUwBdmlad7xOFsnOYu49k94mt0+Ob2bL5zxn5UV4y81DAQkSkRKQv8S8D7YCV8/PMbB7ii97DaVKfgvllRM+F8cSwadx9jLt/Wiof1MxsLaKQ1iCiV8we7n5S6hXRB5gPuK6Ih1gMBxMfwB9oov1tCbzr7t9Nx7r3ErliD2rYQxIRkRJzHpFLeo9s5OP09lzMp3awyFu/JZG+4WvgnFrSgEzRMCqlwd0HAme5+zdp0mDifHYn0vm0So3YWaNT1oB4BPAukRbkHjPrZWZLmNmhRIeVZ4DnatmnGqGKxMw6EyMfrjSzLmla4XvB2URB7YuJYMVSRL764cCpZnaQmbVLy7ZNj8MKtrE/Mdr4diJH/RxQc4CkAZ6WFNdIotF5GWBdM2sNf/ekz4JgQH8zWz5dA4OIlGB9gW1yPesr89dILkj6vru/34TPSXLqe58oWNfzwQcz62ZmFxEjr+5w9/+rZZ/6zDATUsBCRKS0vJAeexdMX4fI+XsV8DsFAQtgWWJ49evuPg5qr2FhZkPTTzszu9LMfjSz8Wb2gZltV9NBmVmX9AXzdzMbZWYvmtna9Xxuq6fH29z9r8KZ7v6Hu79WsN8B6TksambHm9kQMxtnZl+b2elm1qKW413bzB4zs9/ScxtiZv3MbLYZXT715jnBzL5Ix/KFmZ1EPe+p6cP4lsBThf8Py9XDSF/o/8/M/jCzEek8dEjLrW5mz5nZX2nezWbWtpb9LUIEvf6TmzaHmZ1tZp+k8/pXej63mdnC+fXdfRgwENgu98VTRERmMqnXcz9gYSJoMVttjQt12JabWQszWw84F7ia+LxyjrsPasjjlqaR6xWfdba5k8grvx2wWcGyblFs+0/gAOAWYEeig85bxPXwHXCMR3FVKQFmto+ZHUUEHW4ivmfUVFx9GeAQ4vPhGe7+lrv/7FG75FDgK+AoIogBcc5HEY3Oy6XP9/8k6lk84e77A/O6e43BK2neUkP0SKID3nfAScBW8HdPeovRNdcT333nSvPGEoWbhwC7UNCxT0pPfe4TNWhlZouZ2TFEZ8ZjgWeJ4KjMQhSwEBEpLVnAojAg0Yfoif8G8SWvpvn59aelBVEUc0PgQeJDxGLAvy2K4VUzs/mJURs7ET1isqDJM8BqddwfxJcegB71WCdzBXAC8WHlamIkyVnEkN/JmNnBxBenXkTaqauA74lcms/Y37kwp2t54ovbBcQ99FrgKeBo4Mp6Pqe1ifPwxlSWWQR4DWhFDId+nzgPj5jZmkRvxFHpmL4keileXcu2tkqP/4HqXo9PEUXpfk/buAl4j+gh172GbbxO5J1dow7PT0REmq97ic8U2xNpXurdg9GimGovojf1nUTD5vtEqo4BDXq0UjQeBVEvJdL57GlmnVKgorAA97upQXpHoqHyemAHd1/N3T+anoCYNKzUSPg08ZlzaaANEWgcAexlZsun5bJi2gsTHaoedfdxFqOosnmPEjXQugPrp2mDiQbIzYn6Aq8Tn/GHEmljyVL9NOLTlBmQ3tdn9LX6FJFqdg7gVjO72Mz2MrMLgBuINHG3EN+BMl8R7zPLEYH01jN4DNKEpnWfKHAp8AlwBtE+sZ+7b+ruXzbdEUspqClHuoiIFM97wJ/AGmbWwqN2AMSIizfcfbyZvQhsaWYLuvv3uflQ94BFZ6KXU+9cj5a7iYDA0UQwI3M+kWP0VHc/N5toZgcAN9bjuT0F/AUcZGZzEL1r3soNF52a1YBls+drZqcQAZNtzWzb1JMLM1uSCDh8AKzn7lmQBDM7MT2Xw4kPQtOzfG9gH6LBpZe7j07TzyOGK9dHVgvinaksszZwpLtfmfZjwP8RH+QfI4oQZgGIFkQdlN3N7CR3/6VgW1sCQ3NDpJcCVgUecfet8wuaWSsimFLo7dyxP13DfBERaWZSr9fC1CuVZnY60UliLzN7xd1/sMghX6e0LGlUxiCiY8QY4C53fyPtsxyotdiqNDtPAI8QDdHbAdcUXidmVuFRf+D+wpWzeU1ypFKj1EHnLGAl4HjgcXf/A/jDzC4kUj7tZmbv53LHd0mPPWCyXvKWAhgDiQ5XOwD90mjdE83sL2BxosH6fne/M38sXlADR0pDGi1VmX5v5+6j0u9T3ENqkkv3M8nMbiDSjV1EFGAHGE2kI9zM3V8qWLfSzB4nOlcNyDIKSLMyzftEcgdRZP094nNDds2V671h1qIRFiIiJSTdhF8icryuAmBm8wL/IEYBQPRIgjSqwv6uXzEW+F89dneU/13IijT8+htyw2zTl5cdgV9JjfY5NxNDc+skBRu2JYYA7wLcDww1s1/N7D6LAtS1uTIXnMm+EJ2S/twrt9yBRDD+8HzwIbmI6OW58wwsv0d6PDsLVqTj+YH6j7BYMD0WBhbyviQCKtl+nOj1CvBeFqxI8yYStTAqgCXzG7GogbImNRfbHls4wd3HZ19CCmTHumAN80REpBmxVNQ0a0QqmGfu/ipRLLMvNaSDqYt0rzzc3Q/PByu8IPe4NG8p5dPlxAjYPcxsMYiOIWa2U1qmOiCRXW+5URgKVhRfJ2IE7Tvufom7D87Nu4oolLwLMTo78wwwEVguSyWab7x295eJz7KdzGyh3Pk+z933ALbKghUaVVH6UtBgLjO7HnjBzP5jZquROkLX0lu+cBvZtTEuBS+XJtIG9wE2cfeV3P0lC2UF6/7o7ge5+5tTbllKXV3uE2m5N4Dj3f32dM1V1ywpxnFL8WiEhYhI6RlI9DzoA7xKjJ4w/g5YDCJGYfQheiAsB8wJPJsPQEzDH+7+dQ3Tv+fvWhMAPYkUQM8X9mRJPSdfpebUQTVy92fTh5PexOiBFYmG9B2AHczsfHc/uYZVX65h2utEEejlc9OyFFV9LfJlF5pI9Oia3uWXncrx1DRtauZJj39MZZkPamjQ+Sk9Dqph+Wxe54LpmwLlTB6wGEyMLNnZzBYkerwMBAZNpUHq9/TYYSrHLCIiJSxrUMwaic1sd6LB8S+iMPJTuc8T5xM9Ifcysxfc/f36jLIAcPcxaT9l7l6lRoeZ1jtEmqdjgEPN7FOiU8lqZva7u1ePzMw1WqqIcumoIHo1dwMwsy2JkdT93P0aMzuDGC21h5m9kY2+IFI/9QU2AG5OAdDy1NDYFmiZlvvBJ69/YWlZvS+UqMKRE2a2KpHma34i1e+KxGjtc4Grp+f1nDpITdbhLteTvsagdl1HdEhJqtN9wt0nZoFtvTfMuhSwEBEpPfnC2/3S4zjSh7kUKHiFv+tWZI/P12Mff9YyfRKTj76bIz3+WsvyUxsdUKPUQPJs+sl6eO5FfHg5ycwecPd3p7Wf9EVoeO4YIfJiwt+jL6alvsvPAVQBv9Uwr77/i2xkw9RysE5RnJw4R9OaV5jOaSsi2FAdVEnDsdcFziRGvmQjaIaZ2TXAuTV8QGyTHsdM5ZhFRKSEZQ09ZrYW0SDZg2hQbE90kLjXzE5192/cfWhKB3MBsKuZfZA+h9S7wUiN0zOnXABsjJndRoxMPZiovzUKODofrJDSk4IGX5nZ/cApZvYNke7pZeC7dI4fNrNHgW2IkRX9ic/DdxAFkk8ws5/c/fH0GX12YiRzd+C0ws+UClqVrtxImMJzsw3xnXRPouPY0sR1cIKZferuz9Q3oF2TaTVQK1jR/EzPfULnWZQSSkSk9LxPFLdbI6Vk6kOqX5FbZiDQ1cy6Uv/6FfWRBTY61jJ/vhndgUc+45uBu9OkwoLiNe4nDQ+dh8mDL1kjfnt3t9p+ZmD5P4l7Z00jDOr7vxiWHuee6lIzyKIo3YZELuLJUi64+3B3P5yoUbIkcBgR2DiLyF9cKDvWYTXMExGRZsLMViB6ylYB/yRSSy5BdB7YFbgkt/gNwMdp+vrUQT7FlEUh3jaF06U4Gjr1Ti4AtipwADHKsxVwLdDJ3a9I83XuS1SugXkJolf7AkTNiu3c/T+5hsOziKDmnmbWLU1/kehhvxgwwMzONLMjidSqpxE18x5ssicjMyQ1LFelwHQ3i2LYfcxsTqID1Dnu/oi7/+LuzxLfHToDR5pZmyygXcSnIA1A9wkpBQpYiIiUmPSl4UWiN/sWxJeHgQWLZXUs1icaGUbxd0HkhvQ50ZNmpdTwXS31vlmjAfdVU82EzFo1TFudGCn4Xm5aNqR4tSkXr1F9l88KVtd0PDVNm5oP02PPeq5XX+sTNVFqql8BxIdIdx/s7tcSQ/ohrr1C2bF+WMM8EREpMVNpdDgAWBg4yd2vS/eAL4FbgK+Abc1sGwB3/4sYjTc/0VDZPqVymaJhIZfCIWucWJEIgO+uNB7FlXLC54vmdjWzeVPanuluKErbXQO4i2i8fB5Y0qNuyRgzq9C5L31mthsxGuJ/RDvRwh5FsqvfR9z9PeAaIq3rjmnan+5+JXAG0enldCKV3C7AfcB67v5Z0z4bmRqrodaETV7TqIWZXQR8CtwKPAf8HxHMetvMynKjMP4DPAlsDOxej2NQw3QJ0n1CSokCFiIipSkbLXFGehxYMP9dYCRwBJGm6OXC3vMNIY3q+DcxwuKYgtn7EWkk6sTMNjKzLbMPxAXzupEKegKv1LD6ERZ1FrLlWxK9uQAG5Ja7jkiLdLWZLVTDfuY0s+VnYPk70uPp2Qe3tNwCxLmojyzotGo916uvLYniZk/lJ6YPoF1rWD4bKTKuhnnZsb5YwzwRESkxuUaHQ8zsQDNrZWbzAZsQta8eS/O7pV7RA4BFgXuJRqpsOw8CjxPB7C3TtHxu88JAxSJmdhjR2HU28TlC3z2LJJeOozKd6/uJ8/sm8KKZrc/fhXPr1SCVzvk4oif9Du6+vrt/mjVqppG0aoRqQvU5h7llHydqym1KOpdmtmm2WG6Vi4EfiSBk9WdYdz+H+Jy4KpFqdDl3P8DdRzd0b22Zfma2H/CgmS2an17wPXJTIvhwI3AkUSh5DeJ7X1XqXGe58/rP9HiImXVJQY8a3+9ruVf0rG15aTq6T0ipUQ0LEZHSlAUsliJu7m/kZ6YPEq8CGxUs3xhOBNYD+pnZmsSIhiWIxo6niXRDdbE48YH3NzN7CfiS+ALULW2rJXC9u/+vhnXfAN43s/uA0URR8p7AQ6kRBQB3/8jMDiFSWnxmZv9N+5mdaIBZh2iMOWg6l3/BzPoDewMfmtnDxHDWHdMxblbH/wVEweuv+HtEQ4NLH/43B57zKGqXtxzwkJm9CXwC/EykANiKSBFyecG2jLgOBrv75411zCIiMmMKekfODtxE3KceJgrkTiJSG35sZnMQ9+A9ifv5O8Cq7v5WWr+Fu09Mmz6DGM15tJk94+4/p2Us1/g0D7AusG/a3tvAau7+ZuM/c6lNrgHxWCJNzx/AR0RNqlWJnvBHA7dNZ6PRIHffOfsjfw1K08u9Hlu7e00dUKZY1t1HmNkf6Vq5gEjjdAoppaj9XRz7ZzPrR3T62dXM3vUokFvuUYj7rWzbuV74uhZKx8ZE0Pl+4nsIAGa2MPAS8T3vF6JOyenuPjzNb0H0jD8ZODh3jyl39y/M7Eqi89YBRM2SKepYFNwr5iXuFUcSI3MOBYY2wvOVOtJ9QkqNAhYiIqXpI6KQXQemrF+ReZEmCFi4+09pCOdFQF9iGPg7REP7utQ9YHEXkfapL1GkbQOi4PRvROBjQD74UOBIYgTGfsBCwE9Eeorzazjef5nZIOID1dpEg/2fwLdEI/xtM7I8sD+RKmt/4oP798BlxEiUOgcs0ofCG4ELzWyVRmrMWY0YMfFIDfPeBi4kaqBsCsxJBC2eBS529zcKll+b+N8f2QjHKSIiDSR1algAWIF4X1+DaHx4KN3TFyLucVsDsxHBipHAXu5+e8HmepnZm+4+xt3fNbNziMD1z7n9uZm1Iu45uxI9c2vbnhRBamzcn7iHPwzcCTyfGqIXIRopDzCzL939Fatn4dxs2Vyjthqhiih1MjkXaG1mJ9XyPWIKueDFw2b2CLCVmR3qkTI036O6P/E635UYGf3vwnOeGqdVULvIUhB5rLuPSZMOJ4IRDxUsOpFomN6MqFW3obsPN7OW7j6B+N61CTGy5lZ3fyuNsMgark8krofDzOxJd381dwxZz323qGe0BrAbsBNxr7jc3Yc2+JOXetF9QkqNadSNiIiUKjMbQDSkLDIzfpA1s7mJ3k33u/v+jbD9C4HjgM75xqXp3NadRK+sxVIPOhERKUGpEWk4MQLwK+B9d9+lYJl/A9sRjU1nAf0KGx7M7FRgD2BPd399KvtbLC23D1FI82J3P7HhnpHMKDPrSKTnqgT+6e7fpOkbEJ0u/pHm3Qwc6e7j872hpXkxs9WAV4FP3H3peq5bnoKeywIvE+8lq7r7rwWjtzYn6qP9092vaeCnIA3AzLYlRlLsBtyTfz2n+0Rf4MlcQ/I+wKVEKtk1ga88imhn18QBwA3A/7n7FrltVaRG7SOJ95PN3f3xwvcQM1uOSBe2PzAPcJ67Z+mPpch0n5BSozxxIiIiReLuvxOjRPZMQ7Eb2pbA/xogWNGD6AXVT8EKEZHSYLnCp7lpFalB8XQiYLEgMYoRi6KWWc7xG4CxxMjHc/PBCjNbLI2kOJRo9BxcsI/C3NW9gaOA94GFFKwoDquhRljG3X8FLnL3Ld39GzObL6XZfIponDwc+JgIYm1a23YK9me53yss6otJEyp8/ee8RdS7+0dK51rnnPOpYdrc/X0indzCwElpdlVuuceITiwKVpSuCcSo9AOJYDJQHax4hiikvVFu+TuIEfwdgV4pWFFBOu/ufhMRxNrMzLbPbasyzb8CmNvdH09/Z+mfFjazg4mROaekbSygYEXT031CmhMFLERERIrrSqAfkW6pQbn74u6+egNsakGiB+61DbAtERGZQbmUClUWBUv7mNmingqnuvtVwCCiJlP7tFp1CgZ3fx64Ks1/38yOM7PVzex4Ijf9cURtpnMKA9W5RqisIeIZYE1338zdf2jEpy01yNUJmJT+3sLM1jOzZcysbW7RV9L8fxBF1Tcm0n3um1L+XEv0et7VzDql9C1TtBdk5z13HSxLBKw2mUoDujSg3DmoKjjH+bzw96ZJ66Rl69MLOnttnw98TXSsWTFdE9UFtN3965oCp1Jcuffm54ge82sB22eN1en6yD7T72pmc6bpE4GriTRNZ6dp2ftKdt7PJuogHZ/SRVWn9UmBrj/yjeJmtjRwRdqfE/eK7VPjuDQR3SekOdKFIiIiUkTuPs7dz3b3l4t9LLVx9+fd/ZyUw1ZERIok1+hQZWZzmNmtwAfAf4EhZnaMmXVJix+dHvc2s/ZpnXzj4kVEao4ORE2jV4k85UsAh7v71u5eXZS1UNYQ4e7fuvsHDftMpZCZrWFRqHaynvW5dC47mdlQ4AEiiDQIeMTM5s8vRzRArQWcR4ycfD9Nb50eVyLStuTXqZZrgOqSUsTcRFw/SzF5nQNpJLlzcBLwQa63u+UakN8B/gIWt6gxU5/tZ2mAhgOXEHXOTk3zKguXrek6keJJjcgtPOpWPELUrTsS6Jlb5kEipde2RD2jbPpzwO1AFzM7JU0uywW7nyPSTK1IFNjO3wuyx0m5wxkNzAXs5+4ruPtrDf185W+6T8jMRDUsREREREREmpHUe7E/sCHwAjCCyEe+IBGIOC/ll36YSA94uLtfmxo0vWBbCwNLAhVAOZGfvLpXbWEDpTQ9MzuB6O1+mrufm5teRnRCPIFoUH6dCF69QzQm7UP0mD3e3QdZFFV9gxjV2TOlpsy2dRyR/nF5olf9ep7qh+WvGzObg0gDtjewBfARcIS7v9BYz1+mZGbrEK99gN+BzYE3/e8aE4sTjdVzA4u6+6iaXv9T2X7+nJ8F3KQRVKWv8D3bzFoTgemLiFSAp7n7qDRvOeB/xPvGvu7+ZZq+BPAYkQ6ss7sPy0ZYpJRh3YHtgfOndj3V53qTGaf7hMxsFLAQERERERFpBsxsfaJX62vAiUStirvcfbSZLUMEMRYEDnH3B82sK1F4+1NgM3f/KksnNY39KFBRQlID4pPAucDNPnnNkUWInPBfEIVSP0jT5wFOJtJwDABOSA2PtxMNSDu6+1MpfcvmwG3AMUBLYIK7/6vgGCqAVYCdgT2JvPYnufv1jfbEham9Xs3sE6IhspLo+Xysuz+cm/8AsA2wm7vfXd8G5MJ91+W9Q0pDGnVzNPAL0fA8H1HXaDt3H5hb7pK0XGEj93FEj/jb3X2v7NwXXkO6JkqH7hMys6m14IqIiIiIiIiUhjSqYk2i4GVn4HmPIqgAuPsHKYXHf4n80q+7+1Azu5ioSXEQ0YNyWsEKU7CitLj7YDNbyd2H1TB7V+J62CHXCLUUsAlxrQAMTo1QBjxKpIC5wsweIdK1rE8UU33W3b8u3IGZLUb0qD4A6ErkMT/aI+e9NKLUSNwyS8uZzmGWouchYD+iJ/NjwEVm9qdHjRqAu4iAxepm9oDXM7VnQYOnqWG6tKVrow2RxusgoobFEGAokeJnfuBAM/vI3X9Lq11C9Jjf3cyedff/pem3EO8he5jZLZ5S1xYEK3RNlBDdJ2RmoxoWIiIiIiIiJS41FN0APA+sAWRpPSpyyzxJFMrcgr/zkp8IDCMapNZM69T6PVApPEpTakjqY2avmNnGUF0IdyGiVsHXZjaXme0L3AhcAHwGdHf3i9M2HHic6FHbFTgC2B34BNippkaoZBOgHzFap4e7H65GqMaRGgvzfx8MvGZmW2STcgHF94B5gS5EQ+Eo4E4zWz5tZzDwPbA40bt+uo9D7wulL52jHkTj9NPAoe5+nLsfCWxFpADaEdjQ/q6H9DPx2u5B3CNapOm/E7Us/iTSitW2Pykhuk/IzEQBCxERERERkWYgNS7dADjQzcw6ufukggDEOcA4YDczWzo1PpxApAQ5Km1HvWKbp4WIYNV2FoXUK4EJQHvgcOA6orhpJ2Bzd98wl5e+g0Uh3rHufjWwDLAZsKa7b+Hu3xQGsnKN1o8Cfdx9fXf/oime6KzGQllBD/aOQDdgBeBaM+tR8Nr9DPiZSPMzCDiUCFrcDqxLNBx+A6xHBDamGqzMy+Wi72RmHWbw6UnT2RaYnag58jlAet0PBs4CviXuA11y6/QH3kzrbpxNdPf+wLzu/p8mOnZpGLpPyExBAQsREREREZHm40ngQWAlIhXMZAGI1DB1GbAqKdWDuw8AridqXkjzdTuR8mtHopg6wMPAJOBYYmTNMe6+mLs/nq2URuE8AByc/jZ3H+Luz7v7e2laeWEgK2u0dvdvspQw0jg8VJnZ4mb2rzTtV3c/BrgaWAAYYGZr59b5CPgcWN7M5nH314hroyPRKDkf8FRafKe0Tq3ByvyoCjNrZ2Z9idRAA1IvbSl97dLjj1D92p+Upj0H/B+wItGY3RrA3ccTxZjnA/5pZu2zjaWAuM5986L7hMwUFLAQERERERFpJtx9FHAFMcpi95Q3urDn9BVEg9WxZrZGWu9Qd/+4MNWLNB+pYegcIk/97mbWGXifaJyqAE5x9yvy65jZ8sCdRCPliNx2CretuiVFZmb9iLQr+5rZEblZpxP54FcALjazXrl5d6fpcwOkhsXDiKK4DxI96gGWMrO5atmvpXXdzMrMbKW0zzuJkRpv6vpoOmbWNj1OT83ZEelxU4iAQzqv5u5jiZSCAPsDS2QrufuzwOXAxe7+V36DOvfNi+4TMrNQwEJERERERKR5eRP4F9AX2DQrfpprePydqF1xbup1DURQQ3nHmzePorg3EAVQd/AonnsTkWv+JDM7NKXx6W5mhxHBq77AVcAjxTlqqaN50+OfwHlZT3d3/xM4n2hQXhm42czmT8t+AowBdstt5wHgECI1zPnAeGAxoEVNO82lf1oM+CfRQ/tYIo/9fO5+dgM9P6mF/e184B0za+Puk6a54t/rZ2179wBjgfXNrEeaVw5koyQ+IBqkewAHFYymOMbdn0KaPd0nZGZg+rwqIiIiIiLSvKTGxaeBP4AD3P2dFLjQF7yZnJktCLwL/Ars4u4fmNlORC/8uYhrwoj0MN8BR7r7o0U6XEmm9vpMDc5nAvsSaZ7WIeoQHJRfz8zuJtI7PUPUpvkKeJ2oVbFzCm5k29wAuJ/IXQ+wkru/W8O+5yXqXOxHjKh4Azgk1cWQJmRmzwF9gG3d/eHpWL81cCUxguIqj4Lb+fknE7VOhgBrA0u5+ye5+bqHzCR0n5DmTgELERERERGRZiaNpjiU6HV9NXB6Shc1xXJqgJr5mNlRwKVEz9jj3L3SzBYHNgG6AhOBD9z9ttw6ZVOrYSCNJ+V+rzGdSvYaNbN9gQuJQMTpRGHkZdz9IzNr7e7jUiPkGcDeRGBhc2I01W7Auu7+WcG2jyCuiQHufk8N++6R9rkB8BdwtLvf2zDPWuoquz7S+V3e3R/LzavX69bMehLpfxYBzibqkEwkzvHRwF3Ay8BfqeaRzKR0n5DmTAELERERERGRZsjMOhANT2OATd395yIfkjQRM2sDvAZ0AvZx9ycK5lc3OplZRX3Sy0jjSKMo+gEvAM+nxsP8eeoJDAY2I2pS3A4MdPd10/wssLEgcApwIPAikerlLmBDd382pQDKini3cPeJuWOYLICZrqOfgOvd/aRG/yfIVINXuWUWAjZx9xumcx/rENdEZ+B3YCRRuH0wsJ27D0nLqXF6Jqb7hDRnCliIiIiIiIg0U2bWs7BXtcwazGxz4D/Ao0Rj1O8FBZSrfy/iYQrVDcjPEEVvfwRudffTC5b5BxGAuBM4CngFWJ1oYH4oH3xIwY/HgI2J9D7dgTvcfc9a9j9FI3nWQJnqJYxtwKcrdWBmC7j7DzUElVoQRZIXB/q4+4t1CXLUsP0ewC5EUfY5gCfc/YIGfArSDOg+Ic2VAhYiIiIiIiLNnHpHzprM7CWiuHIfd/+62McjNadhM7NFgS+Inu6/E3nj/wOc4u6/5JYbQqRo2dbMtgYeBL51967ZtoGyNDpjCeB4IAtSDAY2cvfvGvUJynRL529h4HniOlgte982s22AIe7+oZntBdwKPOfuG2TrTm+jspm1cvfx6XfdK2Yxuk9Ic1RW7AMQERERERGRGaMGqFnW9u7eVY1QxZdSMWW9llvkple4+1fABcDswGfAxcA+wJ1mtnRuM28Dy6XtPEwUzV7IzLJ0TWVZT/tUf+AM4PE071QFK0qPma1oZqtBdS/2P4liyCsA66T57wP3Ab3TcgOAp4H1UvACZqD9zt3Hm1lZCnroXjHr0X1Cmh2NsBARERERERFpxtRrunhqqAtxITAb0M/df8nyxKeAxk9AB2BNosfzdcAfwAGp/sSlRCBjA3d/28yWJ9JEtQE6u/uwwvRAZtYaGK+ULqXHzJYBBgGvEud0XJr+DyIg0RZoD3wA/IsYdfNjul7WIEZiDAVWdveRqjkhM0L3CWlONMJCREREREREpBlTI1TTs1CWBQrMbGcz+x44DqgEqgBS43NFCjIck1Y/w93vBbYBJgL3m9k+wEtEA/a4tO57wDVAOXBhWrcwMDE+jeqoaKznKtPH3T8AngR6AXvkZvUF5ifO9UCi1sR17v59FpBw99eA/kAPIvUXTHnua5TVJRDJ031CmhMFLERERERERERE6sFDlZkta2avA3cRdSR2Bs5192G5ZSelxzuAN4ENzGxfdx8IbEWkgroZ+CdgwMq5XV2etruXma1Z2MM+C5ioMbK0ZCnCgCPS48FmtlD6vYpI5fUFkRpqRAo6lRWsey4xKudQM1s8LZPNq1UuiDZPFsjKti0i0hzoDUtEREREREREpB7MrMLMrgfeA+YGDgcOc/f7smBF1tM9jcbIRkBkDdjHm9l8qRbFPkRdiz7AGCJoQRrBMYxIFwQwTxM8NWkAqTB6ubsPAa4ClgUOSvOuAHYgglHticAEudEVlencf5+WmRM4LZtX0/7yoyrMbHYz2wy4DDgsv20RkeZANSxEREREREREROrBzDoAdxDpfU529wtqWGYudx+R+zurZ3E7sBtwobuflJt/IDAMeMHdR+TrY5hZC3ef2MhPS2ZQvsZI7ny3JkZKjAO2cPe30vzORDBqY6C3u79UuJ0U6HoDWArYyt2fLNhH/hopB1YigiH7AhXAge5+V9M8exGRhqGAhYiIiIiIiIhIPZnZWsBjwAvAocBIovF5LWK0xEjgNeCeVEQ7a4TuCPwIjAbWSrUOqhu4a9iPZXUqlPqpeTCzpYDPsiCTmR0A3ADc7u575ZbbjkgHNghYH6jMByDS9bItcD/wtruvUsv+egCbAwcC3YhAyFHuPqZxnqGISONRwEJEREREREREJCffi30qy7QBziOCFf2A+Yj0TiOB4UQqn/mI4MS2wJu5xuiT0zr3uvsujfQ0pImZ2ezA3cDywOapcHo2731gCWBHd384TWsDXAnsB+zr7v3T9I7Aou7+Rvr7TOJa+bRgf/MRgY79gbWBl4GD3f2TxnyeIiKNSQELERERERERERGmSLHTikiv86S7D6tpBISZLUGMslgUGAtcClwBOFGP4kKidsELwCHu/nVu3aHAQkSqn0frEiSR0pbSP/0TOAe4ALjE3UemeesQ18HzwNa56WsCtwAtgUOAFsDWwHpE8OHx3PazNFMGrAIcB2wG/Aoc6e4PNckTFRFpRCq6LSIiIiIiIiIC5IIVOxCNwP2B7dO8mgoXf0EURv4M2NjdT3f334E/3H08UUz7PmADYJm07VZp3aPT4xmpIVrBimbO3ccBDwIvEaMmVsrNexF4GFgX2Ds3/RXgaqKo+uPE9bIzcGNBsMJy12AFsBywCXCeuy+kYIWIzCw0wkJEREREREREBDCz9kRD85lAOdHR801gf3f/vJZRFp2BxYl6FeO9oKElV7/gBnc/pGAUxxVEXYN3G/eZSUMzs32BVsC/3H1irtaIEUGu/kTtiRPd/ee0ThfgG+BTImXUl2n6bMDqRADiD+CarGB7/nop2H9n4C93H9XIT1VEpElphIWIiIiIiIiISFgbOAUYBWxHFC9ei+jxXuMoC3f/0d2fd/dx+YZlM2uZfv0t/5gatcvT70e6+7tmpvaZZsTMegInA2cDPaD6vGbBhReBfxOBi7VTEAN3/46oe7I4cEBuk2Pd/TngBHc/x91HmFl5bcGKtK0fFawQkZmRbogiIiIiIiIiImEUcAewurs/QQQsfgJ2MbNeEHUEaloxa5TO5rv7hDRr6/T4ZrZsPv1TQaofKSFmVlHwd3ZuPwMuAWYDDkojJKq5+y/EdfQnMWKnW27eqcAPwKFmtl7BepOy/bh7ZW3BChGRmZkCFiIiIiIiIiIigLsPBM5y92/SpMHAVUB3YHcza5Urely4rueDD2bWzcwuIgp33+Hu/1fLPtUoXWJygYksgLCSmbUpWOwJ4GmiHsWqaXnPBbTeT/P7ABsVrH82EeyYM1svv2EFsERkVqaAhYiIiIiIiIhIktUOSL9PAu4E3iFSRG02jdVbmdliZnYMcB1wLPAs0UAtzUQu6LSTmQ0BniPO47G5ZYYS18Z44CgzmydbN42QGA78SNRC2QFYKrfuv4B53f3BpnlGIiLNhwIWIiIiIiIiIiK1cPcfgEuBuYE9zaxTQU/6vEuBT4AzgMWA/dx906y4spQmS7Lf0+NOxOia34GBwBLABamIeuYF4D4ikLWpmbWAyUZIVAFvA72A/cysXbaiuw/P6lQ05nMTEWluTCMPRURERERERERqZ2ZzAP2BzYGj3P2aWpZbDdgReA+4K6tVYWbl+boVUjrMrCKX+qnc3SvNrBXwEvAtcIq7f25mqwPXAAsDmwJvpsBVb+AGYCJwuLsPTIGLLYGbgX7A0sCT7n5PEz89EZFmRwELEREREREREZFpMLO1iLoFnwA7u/uXZrYksIy735tbroW7T0y/K1DRTJjZIUQtineB74E9gANSAe1smd2JoMWTwMHu/ruZtSQKa18M/EWMuGgPrE3UQNnZ3Uc15XMREWnOFLAQEREREREREZkGM5sNOAs4BrgC+BTYC1gN2Mjdn84ta6CC2qUq1ZjI6lQsAdwDLANMAiqAscAoYMmUuqmFu080s47A+cCewE7Aw2lERrs07SLAgNbA48Ch7v5t4T5FRKR2CliIiIiIiIiIiNTCzCwLPJjZUkTv+nmAVkSj9unufkXxjlCmh5ktCrQAtga2B24ialLsCewNVAK7ufuLBeutT6R6+gnY3t2/L9jmIsAf7v5OmqZAhYhIPajotoiIiIiIiIjMNMysvCG3lwtWrAocAHQmghXXAp2yYIWKJzcf6Vx+AZxLjJi5yd1vdPfPiVESVxHneQMzmz2tk11XrwJ3EOmjtjOzijTf3P0rd38uF6woV7BCRKR+NMJCRERERERERJq9FDAoyxW67gqMBsa4++j8SInp2O7qwO3AosDzwGHu/mmaXwFUKv1T82Fm8wEDgL7AEGCplPKpwt0nmVkPopB2d2B3dx+Y1itz9yozWy7NXxpYzd0/LMLTEBGZKWmEhYiIiIiIiIg0a1kwItUT6GZm9wPPAW8CL6Y0PtU94euz7RSIGAe8Bezg7uu7+6dmVpYasCcpWFEc0zuqJRXSvgT4kxhJ0TOblR6/IFJEzQ3skQIc+fUHAfcDLwG/Ts8xiIhIzRSwEBEREREREZFmzd09BRCOB94jCmF/DrwLdALuA3bJlp2OXQxy953d/QH4O9WP0v0UVy5dV+vpWP1NYtRMW2CDtL3KXM2JgcADwA7AWikoVpVLDXWdu2+cgh8iItJAFLAQERERERERkWbNzFoABwFHAg8D+wKbu/u2wFpAOXCAma2Zlq9Xe0gWmMjWy9JOSXFZOA84z8xa1Wdddx8J3AL8CGxvZssUzP8ZuA34HTgQ6JGmV6bHsekYGrRmiojIrE4BCxERERERERFp7uYCNiHSNp3m7k+nWgQbAI8C7YFVgF3NrFXqKV/vdEIaUVFyVgVOADZw9/HTsf5gosD2asA2Zta6YBTF28BDwHpAl5o2oOCViEjDUtFtERERERERESl5WUHkqcxf291fSr/PRzREb0+kheoP7A8sABzo7g9Nqwh3fn4qrF3m7hMa7hlJXeXSNBVOLwfeAFYE1nb3V+pbXN3MuhBBibmB/d39+YL53YEKdx88Q09CRETqRCMsRERERERERKRk5dIwTUp/b2Fm65nZMmbWNrfoK2n+P4B7gY2Bi4B93f1a4FpgHmKURaes7kUN+7O0vyxYsSxwFLBJfVNJyYzJnYuqgnOd1RGpJM41wDpp2fr2zP0euBRYGNjOzDqk7WfX3RB3H5xqpExXkW8REak73WhFREREREREpOjMbA0zmzf9Xt1ekasfsZOZDSUKIT8DDAIeMbP588sRgYq1gPOAfu7+fpqeFWZeCdi2YJ1quUBFFzM7ALgJuBBYClCDdRPKnYuTgA/MbPv0t+VSMb0D/AUsXt86Frl9PAX8h6iDsl6aXlWwXNV0FmwXEZF6UMBCRERERERERIrKzE4gRkgcAJMXuTazCjM7hUjr9BVwMtGofB3QC7jNzJZLy7cAdgZGADe5+6jcbloD7xG1CI42s665/Vvu9znMbEvgauAGoA2wnrv3U72Cpmdm6wDnAosA15vZ6kzenvVz+ukLtEjr1Cuw5O4jiBE4txPBMBERKZKKYh+AiIiIiIiIiMzyHgUOAYbl6xWkVEALAwcD/wOOdPcPAMzsA2A8ka7pn2Z2grsPM7OPgcWAlYGnUv2JzYHTgGOAlsAEdx+a7Tylh6ogCnPvDOwJVAGHuvv1jf/0pbY6Fe7+opl9SgQpKoE7gWOBh9P8T83sI2AbYAvg7uk8hBey+hX1rYMhIiINRwELERERERERESmqVCNgJXcfVsPsXYHOwA65YMVSwCbAdmmZwSlYYUTwY2vgCjN7BJgLWB/4GHjW3b8u3IGZLUYU6D4A6Er0tj/a3Sc23LOUqUnBqZZZYfN0LsvSqJaHgP2A3sBjwEVm9meuQPZdRMBidTN7YHqKo+fST9UYOBERkaahlFAiIiIiIiIiUnQp4NDHzF4xs40hCisDCxE1Cr42s7nMbF/gRuAC4DOgu7tfnLbhwONE2qiuwBHA7sAnwE41BSuSTYB+RMqpHu5+uIIVjaswbZOZHQy8ZmZbZJNyKbjeA+Yl0nltD4wC7jSz5dN2BhPFsxcH6lXHovA4FKwQESkuBSxEREREREREpFQsBKwBbGdm7VOD9QSgPXA4UbfiJqATsLm7b+juXwKYWQcza+HuY939amAZYDNgTXffwt2/yRfzTutkjdWPAn3cfX13/6IpnuisykJZPuWSmXUEugErANeaWY+CwMFnRJ2K7dx9EHAoEbS4HViXCDR9Q9Q2maJw+9TkRlZ0MrMOM/j0RERkBilgISIiIiIiIiKl4nbgv8COwJZp2sPAJKJuwRbAMe6+mLs/nq2U6k88QNS6yGoQDHH35939vTStvLD3fNZY7e7fuPvLjfvUBOJ/ntI/LW5m/0rTfnX3Y4hC5wsAA8xs7dw6HwGfA8ub2Tzu/hpxjXQkgljzAU+lxXdK69Q6UqKgyHo7M+sL3JL2W96AT1dEROpJAQsRERERERERKQkpgHAO0AbY3cw6A+8TQYwK4BR3vyK/jpktTxRiXhEYkdtO4bYrC6dJcZhZPyJN175mdkRu1ulE/ZAVgIvNrFdu3t1p+twAKRB1GFFE/UHg27TcUmY2Vy37tbSum1mZma2U9nknMVLjTV0nIiLFpYCFiIiIiIiIiJQMd/8fcANRKHsHd/+NSAP1J3CSmR2a0vd0N7PDgCuAvsBVwCPFOWqpp3nT45/AeWbWHsDd/wTOBy4HVgZuNrP507KfAGOA3XLbeQA4hEgldj4wHlgMaFHTTnPpnxYD/kmM6DmWqHsyn7uf3UDPT0REppPV0OlARERERERERKRozGxB4F3gV2AXd//AzHYiet/PBfwBGNAO+A440t0fLdLhSoGUkqvGBqdUW+JMYF8izdM6wE3uflB+PTO7m0jv9AxwAlGn4nWiVsXOKbiRbXMD4H6i1gnASu7+bg37npeoc7EfMaLiDeCQVBdDRERKgEZYiIiIiIiIiEhJcffviR7zSwJ7pfoT9wK9iB7xdwK3Avu5+6JZsKKuhZal8aRzVVuwwlJtiW+AVsR5/A44wMyWSqmaWqfFjyfqSqwHXAOUA/8HLEsUXa/m7s8AZxDBjV1rCVb0IEbq3ExcV7u4+xoKVoiIlBaNsBARERERERGRkmNmbYDXiMbpfdz9iYL5ZVlhZTOrcPdJRThMqUEKHPUDXgCed/fKgvPVExgMbEbUpLgdGOju66b5loIXCwKnAAcCLxIBh7uADd392VQgOyvi3cLdJ+aOYbJRHul6+gm43t1PavR/goiITBf1PBARERERERGRkuPuY4mCyPMBB5rZ3BAN0VlP/dzvClaUCDNbBxgHnAj0J0Y+kAUrkgrgd2BDIgDxOtDbzLbJzc9G2hwKPEGkjjozzd89za/MtpsFK1IQg4JgRUW6nuZXsEJEpLQpYCEiIiIiIiIiJcndHwNeAZYD5kjTPGuMzv8uTc/MrIbJ3xEBh5HAROBgM7vZzObLFnD3j4ERQJd0/i5Jsy5L8yemWFR5CkgcC9wGdE/LrWRmXWo6JnevrGHapPQ4djqepoiINCEFLERERERERESklG3v7l3d/etiH4iE/CgGM2uRm17h7l8BFwCzA58BFwP7AHea2dK5zbxNBKJw94eJotkLmVk2AqIsCz64+2BipMbjad6p7v5dIz09EREpItWwEBEREREREZGSpzoVxVdDXYgLgdmAfu7+S1anIgU0fgI6AGsCCwHXAX8AB6T6E5cSgYwN3P1tM1ueqFPRBujs7sPSCIvK3P5aA+M1qkZEZOalERYiIiIiIiIiUvIUrCielJ6pLAsUmNnOZvY9cBxQCWR1JKpSYKkSOCatfoa73wtsQ6SIut/M9gFeAtoT9S5w9/eAa4By4MK0bmFgYnwa1VHRWM9VRESKSyMsRERERERERERkmsxsWeAGYFXgOeBm4Hl3H1bL8m8AqwD7u/stZrYEcBWwHvAC0AfY1937p+XnBQYCSwBru/srjfuMRESk1GiEhYiIiIiIiIiI1MrMKszseuA9YG7gcOAwd78vC1ZkBbjTaIxsBMQR6fF4M5sv1aLYh6hr0QcYA2TrlaVt/SutM08TPDURESkxGmEhIiIiIiIiIiK1MrMOwB1AX+Bkd7+ghmXmcvcRub+zeha3A7sBF7r7Sbn5BwLDgBfcfUS+PoaZtXD3iY38tEREpAQpYCEiIiIiIiIiIlNlZmsBjxGpnA4FRgIbA2sRoyVGAq8B96Qi2uXuXmlmHYEfgdHAWu7+QdpembtX1bAfy+pUqG6JiMisRwELEREREREREZFZWBZcmMYybYDziGBFP2A+Ir3TSGA4MGea9iOwLfBmbsTEyWmde919l0Z6GiIiMhNQwEJEREREREREZBZUkIapFbAD8KS7D6tpBEQqmv0YsCgwFrgUuAJwoh7FhcBBxCiMQ9z969y6Q4GFgK3c/dG6BElERGTWo6LbIiIiIiIiIiKzoFywYgfgV6A/sH2aN0W6JuAL4HLgM2Bjdz/d3X8H/nD38UQx7fuADYBl0rZbpXWPTo9npGCIghUiIjIFBSxERERERERERGZBZtbezI4GbgYqgInAjmbWI82frN0oFcJ+mEgL9aaZWZru6fEH4FWivalvWm1CmvcQcBWwfy3BEBEREQUsRERERERERERmUWsDpwCjgO2AfxFFtHeGmkdZuPuP7v68u4/zXJ5xM2uZfv0t/5gKaJen349093cLAyEiIiIZ3SBERERERERERGZNo4A7gNXd/QkiYPETsIuZ9YIpR1lkstEV2Xx3n5BmbZ0e38yWzad/SnUzNMJCRERqpICFiIiIiIiIiMgsyN0HAme5+zdp0mAibVN3YHcza+XuVVlwomBdzwcfzKybmV1EFO6+w93/r5Z9ek3TRUREAEz3CRERERERERERATCzBYBHgEWAA939wRSYmKIBycxaAwsAWxE1K9YHngD+6e5fNtlBi4jITEMjLEREREREREREBKgunH0pMDewp5l1SqMpampDuhT4BDgDWAzYz903VbBCRESmV0WxD0BERERERERERErKE8Qoi82JYtzX1FJ34g5gAvAecFdWq8LMyvN1K0REROpKKaFERERERERERGQyZrYWEbj4BNjZ3b80syWBZdz93txyLdx9YvpdgQoREZkhGmEhIiIiIiIiIiKF3gGuB44BDjWzT4G9gNXM7Hd3fxrA3SdmRbkVrBARkRmlERYiIiIiIiIiIgJAvsC2mS0FPAnMA7QCRgGnu/sVxTtCERGZmWmEhYiIiIiIiIhIM9XQaZhywYpVgV2BzmnWtcAJ7j4mza8ObIiIiDQUBSxERERERERERJqZlIapLFfouiswGhjj7qOnN6CQtrs6cDuwKPA8cJi7f5rmVwCVClaIiEhjKCv2AYiIiIiIiIiISN1lwQh3rzSzbmZ2P/Ac8CbwopmtT+qkmtWXqKsUiBgHvAXs4O7ru/unZlZmZmXuPknBChERaSyqYSEiIiIiIiIi0syYWRlwLHAa8AfwETAGWBVoAxzt7rdN77bdvSr3d4OmnRIREamNUkKJiIiIiIiIiDQjZtYC2B84EngYuBN43t0nmdkiwHvAAWb2pbu/UhiAmJZs2Ww9BStERKSpKCWUiIiIiIiIiEjzMhewCZG26TR3fzoFKzYAHgXaA6sAu5pZK3evqm9qKPg7cCEiItJUFLAQERERERERESkxqbh1jdz9V+Aid9/S3b8xs/nM7D7gKWA8cDjwMbAdsGkd92e53yvMrOUMPQEREZHpoJRQIiIiIiIiIiIlIpeGaVL6ewtgNDAM+NLdR6dFX0nz/wFcA6wIXATc4+7vm9kE4EZilMVr7v5zTamhcgW8Pf29LLAhMMTMHtUoCxERaUoaYSEiIiIiIiIi0sTMbA0zmzf9Xt0+k6sfsZOZDQUeAJ4BBgGPmNn8+eWAjYG1gPOAfu7+fpreOj2uBGxbsE61XKCii5kdANwEXAgsBdQ7jZSIiMiMUMBCRERERERERKQJmdkJxAiJA2DyItcpHdMpQH/gK+BkYD3gOqAXcJuZLZeWbwHsDIwAbnL3UbndtCaKb3cBjjazrrn959M/zWFmWwJXAzcAbYD13L2fim2LiEhTU0ooEREREREREZGm9ShwCDAsn6YpFcdeGDgY+B9wpLt/AGBmHxD1KY4C/mlmJ7j7MDP7GFgMWBl4KtW+2Bw4DTgGaAlMcPeh2c7d3dNyqxABjz2BKuBQd7++8Z++iIhIzRSwEBERERERERFpQu4+2MxWcvdhNczeFegM7JALViwFbEIU0QYYnIIVRgQ/tgauMLNHgLmA9Ymi28+6+9eFOzCzxYDtiREeXYFrgaPdfWLDPUsREZH6U0ooEREREREREZEmlgIOfczsFTPbGMDMyoGFgL+Ar81sLjPblyiefQHwGdDd3S9O23DgcSJtVFfgCGB34BNgp5qCFckmQD8i5VQPdz9cwQoRESkFGmEhIiIiIiIiIlIcCwFrANuZ2avu/peZTQDaA4cDiwA7AEOBzd398WxFM+sA/OnuY4GrzexJol7FCHd/Ly1TnW4q/W0pyPEoMMjdX26SZykiIlJHFvcpERERERERERFpSiml02NAb+Bgd7/DzNYDnkiLTAROcfcrCtarAJ4FHnL3q3KBiPwy5SqaLSIizY1SQomIiIiIiIiIFEEKMpwDtAF2N7POwPvAf4msGDUFK5YH7gRWBEbktlO4bQUrRESk2VHAQkRERERERESkSNz9f8ANRKHsHdz9N+Am4E/gJDM71Mw6mVl3MzsMuALoC1wFPFKcoxYREWkcSgklIiIiIiIiIlJEZrYg8C7wK7CLu39gZjsB1wJzAX8ABrQDvgOOdPdHi3S4IiIijUYBCxERERERERGRIjOzo4BLiREUx7l7pZktDmwCdCXqWXzg7rfl1pmsqLaIiEhzp4CFiIiIiIiIiEiRmVkb4DWgE7CPuz9RML86OGFmFe4+qQiHKSIi0qhUw0JEREREREREpMjcfSxwOjAfcKCZzQ1gibtX5X5XsEJERGZKGmEhIiIiIiIiIlIizOwlYCGgj7t/XezjERERaUoKWIiIiIiIiIiIlAgzm8/dfyn2cYiIiBSDAhYiIiIiIiIiIiVGdSpERGRWpICFiIiIiIiIiIiIiIgUnYpui4iIiIiIiIiIiIhI0SlgISIiIiIiIiIiIiIiRaeAhYiIiIiIiIiIiIiIFJ0CFiIiIiIiIiIiIiIiUnQKWIiIiIiIiIiIiIiISNEpYCEiIiIiIiIiIiIiIkWngIWIiIiIiIiIiIiIiBSdAhYiIiIiIiIiIiIiIlJ0CliIiIiIiIiIiIiIiEjRKWAhIiIiIiIiIiIiIiJFp4CFiIiIiIiIiIiIiIgUnQIWIiIiIiIiIiIiIiJSdApYiIiIiIiIiIiIiIhI0SlgISIiIiIiIiIiIiIiRaeAhYiIiIiIiIiIiIiIFJ0CFiIiIiIiIiIiIiIiUnQKWIiIiIiIiIiIiIiISNEpYCEiIiIiIiIiIiIiIkWngIWIiIiIiIiIiIiIiBSdAhYiIiIiIiIiIiIiIlJ0CliIiIiIiIiIiIiIiEjRKWAhIiIiIiIiIiIiIiJFp4CFiIiIiIiIiIiIiIgUnQIWIiIiIiIiIiIiIiJSdApYiIiIiIiIiIiIiIhI0SlgISIiIiIiIiIiIiIiRaeAhYiIiIiIiIiIiIiIFJ0CFiIiIiIiIiIiIiIiUnQKWIiIiIiIiIiIiIiISNEpYCEiIiIiIiIiIiIiIkWngIWIiIiIiIiIiIiIiBSdAhYiIiIiIiIiIiIiIlJ0CliIiIiIiIiIiIiIiEjRKWCRmNluZnajmb1tZuPNzM1sr+nYTpmZHW5mH5rZWDMbZmb3mNmijXDYIiIiIiLSRMxsATM70syeNrNvzWyCmf1sZg+a2aq1rNPezC4zs2/S94yhZnaxmbWrZXl9nxARERGRWZa5e7GPoSSY2VBgYeA3YHT6fW93H1DP7fwL2A/4GHgc6AzsAIwCVnP3IQ131CIiIiIi0lTM7ALgBOBLYCAwDOgObAUYsIu735dbvi3wCrAc8DTwHrA8sCHwFrC2u48r2Ie+T4iIiIjILEsBi8TM1geGuPs3ZnYicD71DFiYWR/geeAlYAN3n5Cmbwz8F3ja3fs2+MGLiIiIiEijM7NtgOHu/mLB9LWA54igwvzuPj5NPws4HbjQ3U/MLZ8FPk529/Nz0/V9QkRERERmaUoJlbj7s+7+zQxuZv/0eFr25SJt+wmiB9aGZrbQDO5DRERERESKwN0fKgxWpOkvAy8AcwFLA5iZESMlRgHnFKxyTpq+X8F0fZ8QERERkVlaRbEPYCbTm0gn9WoN855K89cB7qjrBs1swWks0hJYHPiVGJJeWddti4iIiMgsrRyYN/3+YTYqQKbbxPQ4KT12J9I5PeXuo/MLuvtoM3sV6GtmXdz9uzSrN/o+ISIiIiLNQ6N8n1DAooGk/LTzAx+5e00f8rNcs93ruenvpr2IiIiIiMgMWRl4u9gH0VylUQ/rAz8BH6bJ2ef+2mpODAH6puW+0/cJEREREWnGGuz7hFJCNZw50uOftcz/q2A5ERERERFp5sysBTHioRVwQi7YUN/vB/o+ISIiIiKzPI2wKH1dpjF/AeANgGeeeYaFF1648Y9IZtj48eP53//+B8Cqq65Kq1atinxEMi06Z82TzlvzpPPW/OicNU/ffPMNG2ywQfbnsGIeS3NlZmXAAGBt4F/uXudUTU2ozt8nXnrpJTp16tT4RyQiIiIizd7PP//M2muvnf3ZYN8nFLBoOFlPqNp6PLUvWK5O3P37qc2PWn5h4YUXpnv3+o4Qnzm4Oz8N+Yw/fvmpTssb0HHRbsyzwLS+vzWOsWPH8uWXXwKw2GKL0aZNm6Ich9SdzlnzpPPWPOm8NT86ZzMF1S2opxSsuBXYBbgTOKhgkfp+Pyj694lFFlmEBRecVskLEREREREKv/c12PcJBSwaSCqc9xOwiJmV15B3dlo5bGUGDPnfqzx2+QX1W8mMJdfqQ68dd6d9h3mnvbyIiIiICNXBiv7AHsA9wF7uXlWw2LRqTkz2/UDfJ0REREREVMOiob0ItAV61TCvb3p8qekOZ9bxw6ef1H8ldz556Xn6H3kgL99zG+PHjG74AxMRERGRmUpBsOI+YPepFMn+EeiVCmrnt5F9Z/ja3fNFsfV9QkRERERmaRphMR3MrAPQAfjN3X/LzboJ2Ak4x8w2cPcJafmNgd7A0+7+TVMf76ygctLE6t9X2XI72s3TYarLj/nzTwY9+RjjRo9i0sQJvPnI/Xz43FOsvv0uLLPeRpRX6KUhIiIiIpPLpYHaA7gf2K2WYAXu7mZ2M3A6cBpwYm72aUA74LyC1fR9QkRERERmaWqVTcxsP2DN9OfS6XE/M+udfn/F3W9Ovx8GnAGcBZyZbcPdX0hfSvYD3jWzx4H5gR2B34HDG/EpzNImTfg7YLHk2usxz4LTrk2xwiZb8L+H7mPQU/9H5aRJjB35F8/fegPvPfEYa+2yJ91WXn2ynL4iIjJ17s5vv/3G6NGjmThx4rRXqEVVVRXzzDMPAN9++y1lZRoQWup0zkpXixYtaNu2LR06dNDnmoZxOrAnMAr4HDi1hv/rI+4+KP1+EbAlcIKZLQ+8C6wAbAi8BVyRX1HfJ0RERERkVqeAxd/WJL585PVi8uHYNzNtBwIfAgcARxBfZh4GTnH3LxvgOKUG+REW5S1a1GmdNu1mp/ce+7H8Rpvx8j2389lrMbp+xE8/8Oil57HA4kuyzm77Mn/3no1yzCIiMxN355dffmHEiBENsq2seFdlZSVVVYVp4aXU6JyVrkmTJjF27FgqKyuZb775FLSYcV3TYzvglFqWGQoMguq6FOsQnZy2BfoAPwGXAme5+9ga1tf3CRERERGZZSlgkbj7XsBedVz2THIjKwrmVQFXpR9pIpMmTKj+vaKOAYvMHB07sdkRx7Piplvy4h238sOnHwNRF+PuU4+hx+prsfYuezJHx04NeswiIjOT3377bbJgRXl5+Qw1jGbrVihFX7Ohc1Z63J3KyshWNGLECMrLy5l33nmLfFTNW32+M+TW+RM4Kv3UZXl9nxARERGRWZa+UcpMoXLi3wGLuo6wKDR/t57seOYFfPn2/3jp7gGM+PF7AD5//WW+/eh99rjwKmafRm0MEZFZ1ejRo6t/n3/++Zlzzjmne1tVVVX89ddfALRv317phZoBnbPS9ccff/DTTz8B8TpVwEJEREREREqZvk3KTCGfEqqiRcvp3o6Z0W3l1djz4mtYb99DaNN+DgDGjfyLZ2++Fnef4WMVEZkZZTUrysvLZyhYISINa84556S8vByI9FAiIiIiIiKlTAELmSnki25P7wiLvPKKCpbbcBP2vux62s41NwBfvfsWn6Y6FyIiUjPlxxcpPdnrUh0vRERERESk1ClgITOFSSkllJWVUZZ6ETaENrO3Z719D67++4X+NzLmrz8bbPsiIiIiIiIiIiIiEhSwkJlCZUpFMiPpoGrTfeXV6bHamgCMHfkXLwy4qcH3ISIixdG7d2+OPPLIYh9Gs/TII4/QrVs3ysvLOeqoo7j77rtZeOGFm2TfXbt25YorrmiSfdXF8OHD6dixI0OHDm3yfa+22mo8+OCDTb5fERERERGRxqCAhcwUsoBFecuGD1gArLv3gbRu2w6AT199kS/febNR9iMiIk3roYce4pxzzmmy/b300ktsvvnmdO7cGTPjkUcemWKZvfbaCzOb7GejjTaabJls+htvvDHZ9PHjxzPPPPNgZgwcOBCIBu2DDjposuVuuOEGzIwBAwZMse+11lqrTs/lwAMPZLvttuO7777j7LPPrtM69TVgwIAaa6K89dZbHHDAAY2yz+lx7rnnsuWWW9K1a1cA3n//fXbeeWe6dOlCmzZtWGKJJbjyyivrvd26XC+nnnoqJ554IlVVVTP4LERERERERIpPAQuZKUxKRbcrKioaZftt55yL3nvuX/33szdfy/gxYxplXyIi0nTmnntuZp999ibb3+jRo1l22WW59tprp7rcRhttxE8//VT9c88990yxTJcuXejfv/9k0x5++GHatWs32bQ+ffpUBy8yL7zwAl26dJli+sCBA1l33XWn+TxGjRrFr7/+St++fencuXOT/g8B5p13XmabbbYm3WdtxowZwy233MK+++5bPe2dd96hY8eO3HnnnXz88ceccsopnHTSSVxzzTX12nZdrpeNN96YkSNH8sQTT0z3cxARERERESkVCljITKFyQtSwaKwRFgBLrr0uXZddAYBRvw/n5bv7T2MNEREpdYUpocaPH8+xxx7LAgssQNu2bVl11VUna9QfPnw4O++8MwsssACzzTYbSy+9dI3BhNpsvPHG9OvXj6233nqqy7Vq1YpOnTpV/8w111xTLLPnnnty7733Mnbs2Oppt956K3vuuedky/Xp04fPPvuMn3/+uXraiy++yIknnjjZc/v666/55ptv6NOnz1SPbeDAgdUBinXXXXey0RyFrr/+ehZbbDFatmxJz549ueOOOyabf9lll7H00kvTtm1bunTpwiGHHMKoUaOq97P33nvz559/Vo8oOfPMM4EpU0KZGTfffDNbb701s802G927d+fRRx+dbF+PPvoo3bt3p3Xr1vTp04fbbrsNM+OPP/6Y6vOdlv/+97+0atWK1VZbrXraPvvsw5VXXsk666zDoosuym677cbee+/NQw89VK9t1+V6KS8vZ5NNNuHee++d7ucgIiIiIiJSKhSwkJnCpCwlVEWLRtuHmbHB/ofRolVrAN5/5gm+++TDRtufiIg0vcMOO4zXX3+de++9lw8++IDtt9+ejTbaiCFDhgAwbtw4VlxxRR5//HE++ugjDjjgAHbffXfefLNhUwUOHDiQjh070rNnTw4++GCGDx8+xTIrrrgiXbt2ra5f8O233/LSSy+x++67T7Zcr169aNGiBS+88AIAn3zyCWPHjmXfffdl+PDhfP3110CMumjdujWrr776VI9tjTXW4LPPPgPgwQcf5KeffmKNNdaYYrmHH36YI444gmOOOYaPPvqIAw88kL333rv6OADKysq46qqr+Pjjj7ntttt4/vnnOf7446v3c8UVV9C+ffvqkSbHHntsrcd11llnscMOO/DBBx+wySabsOuuu/L7778DEYzZbrvt2GqrrXj//fc58MADOeWUU6b6POvq5ZdfZsUVV5zmcn/++Sdzzz13g+yz0CqrrMLLL7/cKNsWERERERFpSo2TP0ekiTVm0e289vN2ZM2d9+SFATcC8PSNV7HHxdfQomWrRt2viEhzdfPLX3Hzy19Pc7mlFmjPzXuuPNm0Ix74hM9+HQPYVNfdb61F2G+tRWfkMIFo8O/fvz/ffvstnTt3BuDYY4/lySefpH///px33nkssMACkzWaH3744Tz11FP8+9//ZpVVVpnhY4BIB7XNNtuwyCKL8OWXX3LyySez8cYb8/rrr1NeXj7Zsvvssw+33noru+22GwMGDGCTTTZh3nnnnWyZtm3bssoqqzBw4EB23nlnBg4cyJprrkmrVq1YY401GDhwIIsssggDBw5k9dVXp1Wrqd/TWrZsSceOHYFIqdWpU6ca6ydccskl7LXXXhxyyCEAHH300bzxxhtccskl1aM48qNbunbtSr9+/TjooIO47rrraNmyJXPMMQdmRqdOnab5f9trr73YeeedATjvvPO46qqrePPNN9loo4248cYb6dmzJxdffDEAPXv25KOPPuLcc8+d5nan5Ztvvqm+Xmrz2muvcd999/H444/P8P5q0rlzZ7777juqqqooK1N/JBERERERab70jUaaPa+qoqpyEgDlLRtvhEVmub6b0LnHEgD88fNPvP5A3VOBiIjMakaOm8TPf42b5s/w0ROmWHfEmEn8/Nf4aa47ctykBjnWDz/8kMrKSnr06EG7du2qf1588UW+/PJLACorKznnnHNYeumlmXvuuWnXrh1PPfUU3377bYMcA8BOO+3EFltswdJLL81WW23F//3f//HWW2/VmHZpt9124/XXX+err75iwIAB7LPPPjVus3fv3tXrDxw4kN69ewOwzjrrTDZ9Wumg6mPw4MH06tVrsmm9evVi8ODB1X8/++yzrLfeeiywwALMPvvs7L777gwfPpwx01Enaplllqn+vW3btrRv355ff/0VgM8++4yVV548IDatANNBBx002XVQm7Fjx9K6deta53/00UdsueWWnHHGGWy44YZ1eSr11qZNG6qqqhg/fnyjbF9ERERERKSpaISFNHtZwW2AikZMCZUpKytnwwP/yR0nHE7lpEm8/dhD9FxtTeZbtFuj71tEpLmZvXUFndrX3pibmaftlCPk5pqtgk7tWzGtERazt26YjzOjRo2ivLycd955Z4qRDFmD9cUXX8yVV17JFVdcUV174cgjj2TChCkDLg1l0UUXpUOHDnzxxRest956k82bZ5552Gyzzdh3330ZN25cdQHmQn369OHcc8/lhx9+YODAgdWjRNZZZx1uvPFGvvzyS7777rs6FdxuKEOHDmWzzTbj4IMP5txzz2XuuefmlVdeYd9992XChAn1LqrdosXknwHMrMaRH3V19tlnTzUFVaZDhw6MGDGixnmffPIJ6623HgcccACnnnrqdB/LtPz++++0bduWNm3aNNo+REREREREmoICFtLsVU74O2DRmEW38+ZZsAurbbszr953B15VxVM3XMmu511OeYVeUiIiefutteh0p2u6crslad++fZOluFl++eWprKzk119/Za211qpxmVdffZUtt9yS3XbbDYCqqio+//xzllxyyUY7ru+//57hw4cz//zz1zh/n332YZNNNuGEE06YItCSWWONNWjZsiXXXXdddR0OgJVXXplhw4Zx6623VqeOaihLLLEEr7766mRFwF999dXq/9U777xDVVUVl156afU5/ve//z3ZNlq2bEllZeUMH0vPnj3573//O9m0t956a6rrdOzYsTr11dQsv/zy3HnnnVNM//jjj1l33XXZc889GyT11NR89NFHLL/88o26DxERERERkaaglFDS7E2a+Hev1ooWjT/CIrPyFtsy70JdARj2zde8/dhDTbZvERFpeD169GDXXXdljz324KGHHuLrr7/mzTff5Pzzz6+uPdC9e3eeeeYZXnvtNQYPHsyBBx7IL7/8Uud9jBo1ikGDBjFo0CAgikEPGjSoOqXUqFGjOO6443jjjTcYOnQozz33HFtuuSXdunWjb9++NW5zo402YtiwYZx99tm17rdNmzasttpqXH311fTq1as6sNGyZcvJpheOUpgRxx13HAMGDOD6669nyJAhXHbZZTz00EPVoxa6devGxIkTufrqq/nqq6+44447uOGGGybbRteuXRk1ahTPPfccv/3223SligI48MAD+fTTTznhhBP4/PPP+fe//82AAQOAGIkxI/r27cvHH3882SiLjz76iD59+rDhhhty9NFH8/PPP/Pzzz8zbNiwem17WtdL5uWXX260dFMiIiIiIiJNSQELafaygtsA5U2QEurvfVXQ9+AjMYuX0esP3M3wH75rsv2LiEjD69+/P3vssQfHHHMMPXv2ZKuttuKtt95ioYUWAuDUU09lhRVWoG/fvvTu3ZtOnTqx1VZb1Xn7b7/9Nssvv3x1b/ijjz6a5ZdfntNPPx2A8vJyPvjgA7bYYgt69OjBvvvuy4orrsjLL79cazFsM6NDhw60nMYowz59+jBy5Mjq+hWZddZZh5EjRzZo/QqArbbaiiuvvJJLLrmEf/zjH9x4443079+/ev/LLrssl112GRdeeCFLLbUUd911F+eff/5k21hjjTU46KCD2HHHHZl33nm56KKLputYFllkER544AEeeughlllmGa6//npOOeUUgGkWGZ+WpZdemhVWWGGy0SEPPPAAw4YN484772T++eev/snX0Rg6dChmVmNtksy0rheAH374gddee4299957hp6HiIiIiIhIKTB3L/YxyAwwswWB7wA+//xzunfvXuQjanrDf/iOAUcfDMA/1lmPjQ45qkn3/9Jd/Xnr0QcB6NxjCXY660JsGulLxo4dy9NPPw3AhhtuqJzTzYDOWfOk89Z0hgwZwqRJk6ioqJjhe1FVVRV//fUXQJOmhJLp1xzP2bnnnssNN9zAd9/NeGeDxx9/nOOOO46PPvqozs/9hRdeYJtttuGrr75irrnmmu59n3DCCYwYMYKbbrqp1mVqe30OGTKEHj16ZH92cffvp/tApNnKf5/47rvvWHDBBYt8RCIiIiLSHHz//fd06dIl+7PBvk+U/rdJkWko1giLzOrb78KcnSKv+I+fD2bQ0483+TGIiIjI1F133XW89dZb1emnLr744snqa8yITTfdlAMOOIAffvihzuv897//5eSTT56hYAVErY1zzjlnhrYhIiIiIiJSKlQhWJq9yQIWLRsmYOFVzqTfxzHxx1FM/GUMZlDWriXl7VpQ1q4FZW1bUN62BdamghYtW7Hhgf/k32edBMBLdw9gwSWXrq5vISIis4Zvv/12qsW3P/nkk+rUUqVu44035uWXX65x3sknn8zJJ5/cxEc044YMGUK/fv34/fffWWihhTjmmGM46aSTGmz7Rx55ZL2Wv/jiixtkv8ccc0yDbEdERERERKQUKGAhzd7kRbennr+7JlUTKpn482gm/pR+fhzFxJ9H4xOqpr1ymVHWtgUt27VgsyUP4bdh3zKucgwfXvEIy2+9Ja3naU9ZuwhulLVrgbUsn+HiniIiUpo6d+5cXRy5tvnNxc0338zYsWNrnDf33HM38dE0jMsvv5zLL7+82IchIiIiIiIiU6GAhTR7k42waDH1ERaVIycw8cdRTMgCEz+NZtJvY2F6S7lUOVUjJ1A1cgJtmZ227f5RPWv0498zunD5ijLK27WA2crpNqYdI9tPomrsJFBafRGRZq+iooJu3boV+zAaxAILLFDsQxAREREREZFZkAIW0uxNygUsshEWXuVM+m3sFMGJqlETa9vMZMrnbk2L+dvScv62tJi/LZQZVaMmUjl6IlWjJlI1Ovt9QvV0KusQ9ZhUReUf4+EPmIOWzPFHS0Zc/gETVpyPdr0602Le2abnXyAiIiIiIiIiIiLS7ClgIc1eZUoJtVDbJZhr6Jz8cs17TPx5DEyqQ0qncqNFp7Z/Byc6t6PF/G0pa12/l4a74+MrqRw5gV8+GcKrt99BS2tF6/LZ6L7sGsw1Z6e/Ax7pp3pUx8QqRr/xE6Pf+InWi89NuzU702qxOZU6SkRERERERERERGYpClhIs1c5cSKLtluGlefdGH6BiYyqcbmy2SqqAxLx044WHdtg5WUzfAxmhrWuoKx1BQuusyxLVv7C0zdeBcCnr7zFDmeczwI9l6lefszoMbz02HN0/Lk1HYfPBhMjuDLu098Z9+nvtOjUlnZrdma2ZTtiLWb8+ERERERERERERERKnQIW0uxNmjiBOVrOO9m0inla/x2cSI/l7Vs22aiFpdfdkF+HfsWgp/6PqspJPHrpuex2/hXMPk8HAKzMGN+miu8WGUPPPVaj6sM/GfXaj1T+OR6AiT+PZsQDQ/jzyaG0XXV+2q02P+Wz17+guIiIiIiIiIiIiEhzoYCFNHuTJkyk3P6+lDseuhwtu8xexCMKvffYj+Hff8t3H3/AmD//4D+X9GPHsy6kRctWky1X1qaCtussSLs1F2DsR78x6pUfmPDdSACqRk1k5HPfMnLgd8y2XEdmX2sBWnRqW4ynIyIiIiIiIiIiItKolGtGmr3KSRMps/Lqv611+VSWbjrlFRVsftSJzNFxPgB++eoLnr7hKtxrLs5t5cZsy85Lx0OXY95DlqXNMh3+foVWOmPe+YVfrniXYTd/yNhPf8er6lDkW0REpqp3794ceeSRxT6MZumRRx6hW7dulJeXc9RRR3H33Xez8MILN8m+u3btyhVXXNEk+6qL4cOH07FjR4YOHdqk+50wYQJdu3bl7bffbtL9ioiIiIiINBYFLKTZq5wwYbIRFlZROpd1m9nbs+Vxp9GiVWsAPn31Rd5+7KFprtdqofbMs8sSdDp+ZdqtvcBkQZjxX/zB8AEf88vl/8/efcdHVaWPH/+cmcmkB1IIIZCQ0CIoILB0EIJKsWJZlRWprqBfXVFQbKt0V7GArog/XcCyK4so6i5YVmQEERRRpEkPJECAFEJ6JjNzfn9MMmTSE1Im8Lxfr3nlzr3nnvtcchMy97nnPNvJ3noSh9Veb/ELIcTF7pNPPmHu3LkNdryNGzdy4403EhkZiVKKTz/9tEybCRMmOGsjlXiNHDnSrU3x+q1bt7qtLygoIDQ0FKUUFosFgH79+jF16lS3dkuXLkUpxYoVK8oce/DgwdU6lylTpnD77beTlJTEnDlzqrVPTa1YsYLmzZuXWb9t2zbuu+++ejlmbcyfP5+bb76ZmJgYAH777TfGjBlDVFQUvr6+dO7cmcWLF9e431mzZpW5Fi677DLXdrPZzIwZM5g5c2ZdnYoQQgghhBBCNCrPubMrRC3ZbYUem7AAaBEdw6gHH3W93/ivFRzb+Wu19jU196H5de1o9WQfmt/YDmOoj2ubLSWPjE8Pk/z8T5z7MsFV/0IIIUT1hYSEEBjYcNMI5uTk0L17d954441K240cOZLk5GTX68MPPyzTJioqiuXLl7utW7NmDQEBAW7r4uPjXcmLYhs2bCAqKqrMeovFwrBhw6o8j+zsbM6cOcOIESOIjIxs0H9DgBYtWuDn59egx6xIbm4u//jHP5g8ebJr3fbt2wkPD+eDDz5gz549PP300zz55JP8/e9/r3H/l19+udu18P3337ttv/vuu/n+++/Zs2fPBZ+LEEIIIYQQQjQ2z7qzK0Qt2AoLMRpKJCy8PO+y7thnAP1v/5Pzjdb8781FWDMzqr2/wdtEwMDWREz/A6H3dMEc28y1TefZyLIcJ/mFbaSt3If1eFYdRy+EEBev0lNCFRQUMGPGDFq3bo2/vz99+/Z1u6mflpbGmDFjaN26NX5+fnTt2rXcZEJFRo0axbx587jlllsqbeft7U1ERITrFRwcXKbN+PHjWblyJXl5ea51y5YtY/z48W7t4uPj2b9/P6dOnXKt++6773jiiSfczi0hIYFjx44RHx9faWwWi8WVoBg2bJjbaI7S3nzzTdq3b4/ZbCYuLo7333/fbfsrr7xC165d8ff3JyoqigceeIDs7GzXcSZOnMi5c+dcowtmzZoFlJ0SSinFO++8wy233IKfnx8dO3bk888/dzvW559/TseOHfHx8SE+Pp53330XpRQZGRmVnm9V1q1bh7e3N/369XOtmzRpEosXL2bIkCG0a9eOsWPHMnHiRD75pOpRlqWZTCa3ayEsLMxte3BwMAMHDmTlypUXdB5CCCGEEEII4Qk8786uEDVks1oxePAIi2L9b7uLDr37A2DNyyV549fYrdYa9aEMCt/LQwmf0o3wh3rg1zMcjMq50aHJ25HCmb/vIPn5H0lZtpuMtUfI+fk01qQsmTpKCCGq4cEHH2TLli2sXLmSnTt38sc//pGRI0dy8OBBAPLz8+nVqxdr165l9+7d3Hfffdxzzz389NNPdRqHxWIhPDycuLg47r//ftLS0sq06dWrFzExMXz88ccAJCYmsnHjRu655x63dgMHDsTLy4sNGzYAsHfvXvLy8pg8eTJpaWkkJCQAzlEXPj4+9O/fv9LYBgwYwP79+wH4+OOPSU5OZsCAAWXarVmzhocffpjp06eze/dupkyZwsSJE11xABgMBl577TX27NnDu+++y7fffsvjjz/uOs6iRYsICgpyjS6YMWNGhXHNnj2bO+64g507d3Lddddx9913k56eDjiTMbfffjujR4/mt99+Y8qUKTz99NOVnmd1bdq0iV69elXZ7ty5c4SEhNS4/4MHDxIZGUm7du24++67SUxMLNOmT58+bNq0qcZ9CyGEEEIIIYSnMVXdRAjP5pwSqkSh7eIb+B5GGQyMevBRPvzrY6QmHqUw8xynN6/HXmpe8uoytw4g5I44mo2MJXvrSXK2JuPItQFgP2fFfs5KwYGzbvsYQ3zwCvfDK8IPU0t/vFr64dXCzyNHpQghLhI//B22VD79EQCtusOf3J8Q9/98Miplb9X79v8/GPBgLQM8LzExkeXLl5OYmEhkZCQAM2bM4Msvv2T58uUsWLCA1q1bu900f+ihh/jqq69YtWoVffr0ueAYwDkd1K233kpsbCyHDx/mqaeeYtSoUWzZsgWj0ejWdtKkSSxbtoyxY8eyYsUKrrvuOlq0aOHWxt/fnz59+mCxWBgzZgwWi4VBgwbh7e3NgAEDsFgsxMbGYrFY6N+/P97e3pXGZzabCQ8PB5xTakVEROBwOMq0e+mll5gwYQIPPPAAAI8++ihbt27lpZdeco3iKDm6JSYmhnnz5jF16lSWLFmC2WymWbNmKKWIiIio8t9twoQJjBkzBoAFCxbw2muv8dNPPzFy5Ejeeust4uLiWLhwIQBxcXHs3r2b+fPnV9lvVY4dO+a6Xiryww8/8O9//5u1a9fWqO++ffuyYsUK4uLiSE5OZvbs2QwePJjdu3e7TcMVGRnJsWPHahW/EEIIIYQQQngSSViIJs9ZdNvL+cbknDLCU5l9fBn92DO8/8Q0CnKyyU0+zvq3/86N0x7HYDBW3UE5jEFmmg2PISg+ipxfz5D76xkKk3PR+bYybe3p+djT88nfl35+pQJTqC+mln7OBEZRIsMU5uuxo1WEEE1IQRZknay6XbPWZVap3DRUdfYtqJup8Hbt2oXdbqdTp07u3RcVsgaw2+0sWLCAVatWceLECaxWKwUFBXVaT+Guu+5yLXft2pVu3brRvn17LBYLV199tVvbsWPH8sQTT3DkyBFWrFjBa6+9Vm6fQ4cO5aOPPgKcozeGDh0KwJAhQ1xTL1ksFv785z/X2Xn8/vvvZQpjDxw40K349DfffMPzzz/Pvn37yMzMxGazkZ+fT25ubo3/Tbt16+Za9vf3JygoiDNnzgCwf/9+evfu7da+qgTT1KlT+eCDD1zvi6eqKi0vLw8fH59ytwHs3r2bm2++meeee47hw4dXeR4ljRo1yrXcrVs3+vbtS9u2bVm1apVbzQxfX19yc3Nr1LcQQgghhBBCeCJJWIgmz2azuUZYKJPnJiuKNQuPYORDM/j8xbloh51DP27mm7ff4Nr7HrqgZIvyMhLQpxUBfVqhtcaRaaXwdC6Fp3MoPJ2L7XQuhadz0aWnhtJgS83DlppH/p4SU44YFKYw36IkhnNEhrl1AMZgb49OCgkhPIx3IARW/vQ5AH5hZVZpv1B0YCRV/sbxrpuCz9nZ2RiNRrZv315mJENxIeuFCxeyePFiFi1a5Kq9MG3aNKw1nOKvJtq1a0dYWBiHDh0qk7AIDQ3lhhtuYPLkyeTn5zNq1CiyssomcOLj45k/fz4nTpzAYrG4RokMGTKEt956i8OHD5OUlFStgtt15ejRo9xwww3cf//9zJ8/n5CQEL7//nsmT56M1WqtccLCy8vL7b1SqtyRH9U1Z86cSqegKhYWFsbZs2fL3bZ3716uvvpq7rvvPp555plax1KsefPmdOrUiUOHDrmtT09PLzOyRtQfpdRYYDDQC+gKmIGJWusV5bTV1egyWmudVNQ+BkiopO1srfWsGoYshBBCCCFEkyEJC9Hk2QutGItrWDSREQGtL7uciMHXkLzxa9CaXd9+jZePL0PH3VsnyQClFMZm3hibeePT6XyhVu3Q2M8VFCUwcig8lUvhmVxsZ3LRhaVu6jg0tqJtebvOrzb4mfBqHYC5TSDm1gF4tQnE2MwsSQwhRPkGPFjr6ZpybvoHQUFBKEPD/G7v0aMHdrudM2fOMHjw4HLbbN68mZtvvpmxY8cC4HA4OHDgAF26dKm3uI4fP05aWhqtWrUqd/ukSZO47rrrmDlzZplES7EBAwZgNptZsmSJqw4HQO/evUlJSWHZsmWuqaPqSufOndm8ebNbEfDNmze7/q22b9+Ow+Hg5ZdfxlD0PV61apVbH2azGbv9wmswxcXFsW7dOrd127Ztq3Sf8PBw19RXlenRo4fbSIxie/bsYdiwYYwfP75Opp4CZ1Lt8OHDZeqU7N69mx49etTJMUS1zAPaAqlActFyRWZXsL4DcDewtzhZUcpvwKflrLdUO0ohhBBCCCGaIElYiCavZNHtplSLwb91NC0HxHPmhw1orfll3WeYff0YeMfd9XZMZVCYgn0wBfvAZecLf2qHxp6eX3ZERkou2N0fDHTk2ig4mEHBwQzXOkOAF+Y2gUWJDGcywxhorrfzEEKI+tCpUyfuvvtuxo0bx8svv0yPHj1ISUlh/fr1dOvWjeuvv56OHTuyevVqfvjhB4KDg3nllVc4ffp0tRMW2dnZbk/HJyQksGPHDkJCQoiOjiY7O5vZs2dz2223ERERweHDh3n88cfp0KEDI0aMKLfPkSNHkpKSQlBQUIXH9fX1pV+/frz++usMHDjQldgwm81u60uPUrgQjz32GHfccQc9evTgmmuu4T//+Q+ffPIJ33zzDQAdOnSgsLCQ119/nRtvvJHNmzezdOlStz5iYmLIzs5m/fr1dO/eHT8/v1pNvzVlyhReeeUVZs6cyeTJk9mxYwcrVqwAuOCE+4gRI3jyySc5e/YswcHOhwR2797NsGHDGDFiBI8++iinTp0CwGg01mgkxIwZM7jxxhtp27YtJ0+e5LnnnsNoNLpqdRTbtGkTc+fOvaDzEDVyL3BQa31MKfUE8HxFDSsaDaGUer1o8R8V7LpDRlIIIYQQQohLUdO5uytEBZxFt50JC4OpdnUgGktg2/YMnTjV9X7rxx+y7T+fNHgcqmj6J9/LQwkaFk3omMtoOa0nrecMpOWjvQi5+zICr47G57IQDAFlb2Y5sgvJ35dO1vpE0t7dS/L8H0le8COp7+0lc30i+QfOYs8pbPDzEkKImlq+fDnjxo1j+vTpxMXFMXr0aLZt20Z0dDQAzzzzDD179mTEiBEMHTqUiIgIRo8eXe3+f/75Z3r06OF6Gv7RRx+lR48ePPvss4DzhvbOnTu56aab6NSpE5MnT6ZXr15s2rSpwmLYSinCwsIwmytPFMfHx5OVleWqX1FsyJAhZGVluQph15XRo0ezePFiXnrpJS6//HLeeustli9f7jp+9+7deeWVV3jhhRe44oor+Oc//8nzz7vf9x0wYABTp07lzjvvpEWLFrz44ou1iiU2NpbVq1fzySef0K1bN958802efvppgCqLjFela9eu9OzZ0210yOrVq0lJSeGDDz6gVatWrlfJOhpHjx5FKYXFYqmw7+PHjzNmzBji4uK44447CA0NZevWrW5Jjy1btnDu3Dluv/32CzoPUX1a62+01rWucq6U8sE5usIKvF9ngQkhhBBCCHERUFpXZ1pV4amUUm2AJIADBw7QsWPHRo6o4f3r6ekMst2EQRnwah1Ay4c8f0qEvLw8vv76awCGDx/O7xu+ZsO7b7u2X3Pv/9H92lEV7d6otNbYz1kpPJ6F9UQ21uNZFJ7IxpFbtsh3acZg7xIjMZxTShl8m8ZAr9LfM19f30aOSFSHfN8azsGDB7HZbJhMpgv+v8jhcJCZmQlAUFCQa7og4bma4vds/vz5LF26lKSk8mbjqZm1a9fy2GOPsXv37mqf+4YNG7j11ls5cuSIa2RGbdx55510796dp556qsI2Ff18Hjx4sGSR+Sit9fFaB3KJKjHCotwaFhXs8yfgn8BqrfUfS22LwVnD4n/AZ0Az4DRg0VofrmWMbapoEgFsA+fniTZtqmouhBBCCCGE8wGr+vg80TTuFApRCXthoevmgGoiNSxK63ndzVjz8ti8yjkH9jf/WILZx4fOg+v2ade6oJTC1NwbU3NvfK9wFsnVWmM/W4D1eBbW49muZIYucJ933H62gLyzBeTtSnWtM4X5EnBVa/x7R0gdDCGEEPVmyZIl9O7dm9DQUDZv3szChQt58MHa1Vcp7frrr+fgwYOcOHGCqKioau2zbt06nnrqqQtKVlitVrp27cojjzxS6z5Eo5hc9PWdStpcW/QqppVS/wSmaq1zani8amflNm7cSFhYWA27F0IIIYQQl6LU1NSqG9WCJCxEk6cLHVA0m0NTqmFRWt9b78San8e2zz8GrfliyauYfHzo2Lt/Y4dWJaUUphAfTCE++HVzTlOhHRpbWh6FJ7KxHj8/EqN0cW9bah4ZnxzCmpBJ81s6YDA3rWm9hBCiWGJiYqW1LPbu3euaWsrTjRo1ik2bNpW77amnnqr0aX5PdfDgQebNm0d6ejrR0dFMnz6dJ598ss76nzZtWo3aL1y48IKPaTabeeaZZy64H9FwlFKxQDyQiHMURWm5wFycBbcP45zCtycwHxgL+AG3NUSsQgghhBBCNAZJWIgmzy1h0URHWIDzpv/gP03AmpfHb/9bh3Y4WLvoBUbPfI6Ybp4/zVVpyqDwauGHVws//K4MB4qSGCm5rgSG9Xg2hUlZAOT+eobC5BxC7+mMKVSm7RFCND2RkZHs2LGj0u1NxTvvvENeXl6520JCQho4mrrx6quv8uqrrzZ2GEJMAhSwXGvtKL1Ra30GeLbU6vVKqS3AL8CtSqmeWutfanDMqob9uKaEuuqqq2RKKCGEEEIIUS3Hj9fPjLKSsBBNnrafr8PSlEdYgDNpcfWkqRTm57F30wbsNhufLZzHbU/Poc1llzd2eBdMGRReLf3xaumPf6+WAOTuTOHs6gNoq4PCUzmcfv1XQu6Iw7dLaCNHK4QQNWMymejQoUNjh1EnWrdu3dghCHHRUUoZgAmAA1hWk3211rlKqfeBecBAnMmL6u5b6SfJklNy+vr6Sr0nIYQQQghRLfX1d2PTvrsrBIDt/MNpTXmERTFlMDDi/ml0KJoKymYtYM3fZnP6yKFGjqx++HVrQfj/XYmphfOXnM63k/beXs59fRTt0FXsLYQQQgjRZIwE2gD/01on1mL/4kmC/esuJCGEEEIIITxL07+7Ky552lZihMVFkLAAMBiNXP/w48R07wmANS+Xj+Y9TeLunY0cWf3waulP+P9die8V50dVZH2bROry3dhzChsxMiGEEEKIOlOdYtuV6Vv09eiFhyKEEEIIIYRnujju7opLltYaZS+xwqQqbNvUmLy8uGn6U7QumgqqICeHjxc8y95NGxo5svph8DERcndnml0X6/rNVHAwgzOv/4r1eFbjBieEEEIIcQGUUi2AG4EU4PNK2vVQJedoOr/+VmA8cBb4or7iFEIIIYQQorFJwkI0aQ67HYM6fxkrL2MjRlP3vLx9uPXJWcT2+AMADruNL/7+Mls+/hCtL77pkpRSBF7VhrDJXTEEeAFgzyjgzJu/kfPTqUaOTgghhBAClFL3KqVWKKVWAH8sWu1ap5S6t5zdxgFewPtaa2sl3b8KJCqlVimlXlFKLVZKbQI+BgqBCVrrc3V4OkIIIYQQQngUSViIJs1eaMWgzteOVxfRCItiZh9fRj/2V7pfO8q17odV/+SrpYux22yNGFn98WnfnJYP9cAcHehcYdec/eQg6asPoAsdle8shBBCCFG/BuEc7TAe6Fm0bmCJdYPK2ae600F9AOwG+gFTgSlAZNF+V2qtKxydIYQQQgghxMXAVHUTITyXrbAQY8mEhdfFmYMzGI1cPfkBmoVHsPGfywHYY/mGrLRUbnr0Sbz9Lr7ai8Zm3rS4rxvn1iWQ/cNJAHJ/Pk1hcg6hd3fGFOLTyBEKIYQQ4lKktZ4ATKjhPl2q2e4dal/jQgghhBBCiCbv4ry7Ky4Z9tIJi4uk6HZ5lFL0vuk2bpj2BEYv53RJibt28OFfHyMz9UwjR1c/lMlA85vaE3JnnCsZVXgimzN//5X8A2cbOTohxMVg6NChTJs2rbHDaJI+/fRTOnTogNFo5JFHHuFf//oXbdu2bZBjx8TEsGjRogY5VnWkpaURHh7O0aNHG/zY/fr14+OPP27w4wohhBBCCCFEfbh47+6KS0KZhMVFOsKipLj+g/jjXxfgExgEQNrxRP719HROHznUyJHVH78e4bR44EqMoc5RFY5cG6nLd5O5PhHtuPhqeQghGs4nn3zC3LlzG+x4Gzdu5MYbbyQyMhKlFJ9++mmZNhMmTEAp5fYaOXKkW5vi9Vu3bnVbX1BQQGhoKEopLBYL4LyhPXXqVLd2S5cuRSnFihUryhx78ODB1TqXKVOmcPvtt5OUlMScOXOqtU9NrVixgubNm5dZv23bNu677756OWZtzJ8/n5tvvpmYmJgy29LS0mjTpg1KKTIyMmrUb3Wul2eeeYYnnngCh0OmTBRCCCGEEEI0fRf/3V1xUbMVWjGq84W2L+YRFiW1juvMn+a9RPOIVgDkZJzl37Oe4PD2nxo5svpjbuVPywd74NM5xLlCQ+b/jpH23l4cuYWNG5wQoskKCQkhMDCwwY6Xk5ND9+7deeONNyptN3LkSJKTk12vDz/8sEybqKgoli9f7rZuzZo1BAQEuK2Lj493JS+KbdiwgaioqDLrLRYLw4YNq/I8srOzOXPmDCNGjCAyMrJB/w0BWrRogZ+fX4MesyK5ubn84x//YPLkyeVunzx5Mt26datV39W5XkaNGkVWVhZffPFFrY4hhBBCCCGEEJ7k0ri7Ky5a9sLCUkW3L51LOjgikjFzXyIyzjklcmFBPp8tnMeOr9Y2cmT1x+BrIvSeLgSNaAtF9dXz96Vz+u87sJ7MbtzghBBNUukpoQoKCpgxYwatW7fG39+fvn37ut3UT0tLY8yYMbRu3Ro/Pz+6du1abjKhIqNGjWLevHnccsstlbbz9vYmIiLC9QoODi7TZvz48axcuZK8vDzXumXLljF+/Hi3dvHx8ezfv59Tp0651n333Xc88cQTbueWkJDAsWPHiI+PrzQ2i8XiSlAMGzbMbTRHaW+++Sbt27fHbDYTFxfH+++/77b9lVdeoWvXrvj7+xMVFcUDDzxAdna26zgTJ07k3LlzrhEls2bNAspOCaWU4p133uGWW27Bz8+Pjh078vnn7rWJP//8czp27IiPjw/x8fG8++67tRr1UNq6devw9vamX79+5Z5/RkYGM2bMqFXf1blejEYj1113HStXrqzVMYQQQgghhBDCk1w6d3fFRalM0e1LKGEB4BfUjD8+M49O/QYBoLWD9cvexPLe2zjs9kaOrn4ogyIoPpqwiVdg8HN+7+3p+ZxZ8hs52083cnRCiNLe3fMuV390dZWvh9Y/VGbfJ358gms/vrbKfd/d826dxfvggw+yZcsWVq5cyc6dO/njH//IyJEjOXjwIAD5+fn06tWLtWvXsnv3bu677z7uuecefvqpbke4WSwWwsPDiYuL4/777yctLa1Mm169ehETE+OqX5CYmMjGjRu555573NoNHDgQLy8vNmzYAMDevXvJy8tj8uTJpKWlkZCQADhHXfj4+NC/f/9KYxswYAD79+8H4OOPPyY5OZkBAwaUabdmzRoefvhhpk+fzu7du5kyZQoTJ050xQFgMBh47bXX2LNnD++++y7ffvstjz/+uOs4ixYtIigoyDXSpLIb/7Nnz+aOO+5g586dXHfdddx9992kp6cDzmTM7bffzujRo/ntt9+YMmUKTz/9dKXnWV2bNm2iV69eZdbv3buXOXPm8N5772Ew1O/fJ3369GHTpk31egwhhBBCCCGEaAiX1t1dcdGxF1ovuRoWpZnMZm54+HF633Sba932tZ+xet4z5GRcvIWpfToFE/5QD7zaFE19YnNw9qMDnP30ENom83gL4SlyCnM4k3umyld6QXqZfTMKMqq1b05hTp3EmpiYyPLly/noo48YPHgw7du3Z8aMGQwaNMg19VLr1q2ZMWMGV155Je3ateOhhx5i5MiRrFq1qk5iAOd0UO+99x7r16/nhRde4LvvvmPUqFHYy0lET5o0iWXLlgHOeg/XXXcdLVq0cGvj7+9Pnz59XKMgLBYLgwYNwtvbmwEDBrit79+/P97e3pXGZzabCQ8PB5xTakVERGA2m8u0e+mll5gwYQIPPPAAnTp14tFHH+XWW2/lpZdecrWZNm0a8fHxxMTEMGzYMObNm+f6tzSbzTRr1gyllGukSenprkqaMGECY8aMoUOHDixYsIDs7GxXIumtt94iLi6OhQsXEhcXx1133cWECRMqPc/qOnbsGJGRkW7rCgoKGDNmDAsXLiQ6OrpOjlOZyMhIkpKSpI6FEEIIIYQQoskzVd1ECM9Vuug2l9gIi2LKYOCquyfSLDyCb5cvxWG3k7R3Fx88OY0bH3mSyE6XNXaI9cIU7EP4lO5k/OcwOT85pzrJ2ZpM4YlsQsZ2xtSs8ptuQoj65+/lT7hfeJXtQrxDyqxr7t28Wvv6e/nXKrbSdu3ahd1up1OnTm7riwtZA9jtdhYsWMCqVas4ceIEVquVgoKCOq2ncNddd7mWu3btSrdu3Wjfvj0Wi4Wrr77are3YsWN54oknOHLkCCtWrOC1114rt8+hQ4fy0UcfAc7ExNChQwEYMmSIa+oli8XCn//85zo7j99//71MYeyBAweyePFi1/tvvvmG559/nn379pGZmYnNZiM/P5/c3Nwa/5uWrBPh7+9PUFAQZ86cAWD//v307t3brX2fPn0q7W/q1Kl88MEHrvfFU1WVlpeXh4+Pj9u6J598ks6dOzN27NganUNt+fr64nA4KCgowNfXt0GOKYQQQgghhBD1QRIWokmzyQgLN92vHUVYdAz/efV5cs6mk52exr9nPUH8+D/Tffh1KKUaO8Q6p7wMBN/aEXNUIGc/OwQ2jTUpizOv/UroPZ3xjmnW2CEKcUkbf/l4xl8+vuqG5fhb378RFBRU79PpFMvOzsZoNLJ9+3aMRqPbtuIn+xcuXMjixYtZtGiRq/bCtGnTsFqt9RZXu3btCAsL49ChQ2USFqGhodxwww1MnjyZ/Px8VwHm0uLj45k/fz4nTpzAYrG4plYaMmQIb731FocPHyYpKalaBbfrytGjR7nhhhu4//77mT9/PiEhIXz//fdMnjwZq9Va44SFl5eX23ul1AWNOJgzZ061ak+EhYVx9qz7iMZvv/2WXbt2sXr1agC01q62Tz/9NLNnz651XOVJT0/H399fkhVCCCGEEEKIJk8SFqJJsxUWYlDnbypdajUsytM6rjP3/G0x/130Asd/343DbmP9sjdJPrSfa+59AC9vn6o7aYL8e0fgFRlA2gd7sZ8twJFTSNp7ewl/qAem4IvznIUQdatHjx7Y7XbOnDnD4MGDy22zefNmbr75ZteT8w6HgwMHDtClS5d6i+v48eOkpaXRqlWrcrdPmjSJ6667jpkzZ5ZJtBQbMGAAZrOZJUuWuOpwAPTu3ZuUlBSWLVvmmjqqrnTu3JnNmze7FQHfvHmz699q+/btOBwOXn75ZVdSqvTUWmazudypsGoqLi6OdevWua3btm1bpfuEh4e7pr6qTI8ePdxGYoCztkfJYujbtm1j0qRJbNq0ifbt29cg8urZvXs3PXr0qPN+hRBCCCGEEKKhyd1d0aSVnhLqUh9hUcy/eTC3PzOPXtePdq3bu/FbPvzrY2ScSm68wOqZuXUALR/qgXc756gKR66NtH/+ji6UOb2FEFXr1KkTd999N+PGjeOTTz4hISGBn376ieeff561a9cC0LFjR/73v//xww8/8PvvvzNlyhROnz5d7WNkZ2ezY8cOduzYATiLQe/YsYPExETX9scee4ytW7dy9OhR1q9fz80330yHDh0YMWJEuX2OHDmSlJQU5syZU+FxfX196devH6+//joDBw50JTbMZrPb+tKjFC7EY489xooVK3jzzTc5ePAgr7zyCp988olr1EKHDh0oLCzk9ddf58iRI7z//vssXbrUrY+YmBiys7NZv349qamp5Obm1iqWKVOmsG/fPmbOnMmBAwdYtWoVK1asALjg0YcjRoxgz549bqMs2rdvzxVXXOF6xcbGAs4kTnWSIMWqul6Kbdq0ieHDh1/QeQghhBBCCCGEJ5C7u6JJK110O1+KLbsYTSaGjruXG6bNdI2qSDmWwAdPTePIL5U/VdqUGfy8CL2nC8YQ5zkXHs8m4z+HGzkqIURTsXz5csaNG8f06dOJi4tj9OjRbNu2zVU4+ZlnnqFnz56MGDGCoUOHEhERwejRo6vd/88//0yPHj1cT8M/+uij9OjRg2effRYAo9HIzp07uemmm+jUqROTJ0+mV69ebNq0qcJi2EopwsLCyi18XVJ8fDxZWVmu+hXFhgwZQlZWFvHx8dU+j+oYPXo0ixcv5qWXXuLyyy/nrbfeYvny5a7jd+/enVdeeYUXXniBK664gn/+8588//zzbn0MGDCAqVOncuedd9KiRQtefPHFWsUSGxvL6tWr+eSTT+jWrRtvvvkmTz/9NECVRcar0rVrV3r27FnjwutHjx5FKeUqel6eqq4XgBMnTvDDDz8wceLEWsUvhBBCCCGEEJ5EFc+pK5ompVQbIAngwIEDdOzYsZEjaljb136G7cs0Wvs7z3tNlpV2N8dy/fB2jRxZ5fLy8vj6668BGD58eL3POZ12PJHPXprP2eQTrnX9bx9D/9vGoBpobviGZj2ZzZklv0FREiv49k74/6Flrftr6O+ZqBvyfWs4Bw8exGazYTKZLvj/IofDQWZmJkCD1rAQtdcUv2fz589n6dKlJCUlXXBfa9eu5bHHHmP37t3VPvcNGzZw6623cuTIEYKDg2t97JkzZ3L27Fn+3//7fxW2qejn8+DBgyWLzEdprY/XOhDRZJX8PJGUlESbNm0aOSIhhBBCCNEUHD9+nKioqOK3dfZ5wvM/TQpRCbutEEOJERZmuyLhkwT+/vft2GW0hUtom2juXvAqHXr3d63bsvpD1rwwm7zsssVZLwbmyACCb+ngen/200NYT2Y3YkRCCCEa05IlS9i2bZtr+qmFCxe61de4ENdffz333XcfJ06cqLpxkXXr1vHUU09dULICnLU25s6de0F9CCGEEEIIIYSnkIRFCUqp3kqpdUqpDKVUjlJqq1Lqjhr2EamUWqyU2lvUx2ml1PdKqXuUUuVXwhS1ZrNaMRrOJywcgEKhdp/jhWe/J/VsXsU7X2K8/fy4afpTDP7TBJRy/ugn7NjOe48/xLGdOxo3uHri36sl/n0inG9sDtI++B1Hnq1xgxJCXLQSExMJCAio8FW67oAnGzVqVIXnsWDBgsYOr1YOHjzIzTffTJcuXZg7dy7Tp09n1qxZddb/tGnTSj5dVKWFCxfy2GOPXfBxp0+fTsuWtR9BKIQQQgghhBCexFR1k0uDUioe+ArIB1YCWcBtwL+VUlFa65er0Uc74EcgtKiv/wBBwGjgPWAYIBMM1yG7rRCjctYq0FqTbwAvh0ahaJZu451nt3DtvZfTq7t8kAfnPOd9br6diPYd+e+iF8jLyiQ7LZXV85/hyhHXc9WfJuLl49PYYdap5je2x3oym8Lj2djT80lftZ/Qe7qgDBdWZFUIIUqLjIx0FUeuaHtT8c4775CXV37SPyQkpIGjqRuvvvoqr776amOHIYQQQgghhBCiEpKwAJRSJuBtnA/oX6W13lG0fg7wE7BAKbVaa32siq5mAGHANK314hL9Pwn8BkxQSs2qRj+impxFtwOcy2h6x0dxNsjAgU+P4qMVgYWw6c3dHLz2LHfddlkjR+s5oq/ozj0vvMaXS14lcfdvAOz4ai1Hf/uFkQ88Suu4zo0cYd1RXgZC7+7Mmdd/xZFrI//3dLK+O05QfPWfghVCiOowmUx06NCh6oZNQOvWrRs7BCGEEEIIIYQQlyCZEsppGNAe+FdxsgJAa30OWACYgepMclxc6XldyZVa6wzg+6K3YRcYqyjBZi3EWFTDwqGhZWwQN45oz/XTe3CuaKCAF4q0/53E8u/92O1S16JYYGgYtz89l2ETp2AyewOQcSqZfz83k43/WoGtsLCRI6w7pmAfQu6Mg6JBFZlfHyX/0NnGDUoIIYQQQgghhBBCCOFGRlg4DS36+nU5274q+jqkGv3sBkYA1wElR1g0BwYCp4C9NQlMKdWmiiYRxQsFBQUVTt9wsSrIz3MlLOxomrfyJi8vj7atffnzX//AO6/9RtBp5433PRtOkJaYSfz4TvgGmhszbPLz88tdbgyXDbmGiLgurH/775w+fBCtHWz7bDWHt//INX9+iLC2sY0aX52J9sX3qkjyvjsJGtL+tY9mU7pgDKreteBJ3zNRffJ9azgOhwOttWv5Qvsqb1l4LvmeeT6tNQ6Hw+1vxYKCgkaMSAghhBBCCCHKUsU3Fy5lSqmPgNuBP2itt5ezPQs4q7WOrqKflsBGoCPORMdOztewyAXu1lpvrWFs1f4GvfPOO4SFXVoDOJI3f8s1+jp8jH5k223sG5iJKlGawOGA00e8sB/yBu3cYPB2EHJlHj4hckOlJO1wkPH7TtJ2bXf+wwEoRUjXngR3uRJluAgGZGnosC+AZhnOJEV2gI0Dl2eiL4JTE6KxhYaG4uvri5+fH61atWrscIQQJSQnJ5Obm0teXh5paWmu9ampqdx7773Fb6O01scbJUDRqIoekEoCSEpKok2bqp6XEkIIIYQQAo4fP05UlGvK9Tr7PCG36ZyaFX09V8H2zBJtKqS1Pg30B74ERgKPA1OL9n0PZx0LUYfy8xwYlRGAQoVbsgLAYIBWHQpp0TcXg7fzJryjwMCZH/34+WdvjiUbsNkbOmrPpAwGgi+/kqgRozE3LyqoqjXpO7dz/H+fYz2X0ajx1QkFCR1yKPB2ftMDsk20OebXyEEJIYQQQgghhBBCCCFApoSqU0qpDsB/gGxgMLADaA6MBeYBI5RSg7XWNblFXlVl4AhgG0Dfvn1p3759DaNu2t7+ZqNrSijMRoYPH15h27zrrGx49yCnDmdiQBGRYoYUM4lKkxtoJCjan8uuCKV3jxZ4m+vnR8Nud3A2s4CTyVn8uG0nhYUGIiOjsRcqCvJtGB1wWZg/hVYHNqsdW4GDfSeyyMy2ggGU0YDBpDB4Ob8aTQZMZgMmLwPhzX3o2CoQk5cB30Av/JqZMQeY8PGp+bnYb7udnz9bzS//XYPWmoK0FE58/Sm9b/4j3YZfj8ncuFNqXShbjxzOLdsHdk34KR/a9e+Md7fQSvfJz89n48aNAFx11VX4+Pg0RKjiAsn3reEkJiZit9sxmUwEBQVdUF8Oh4Ps7GwAAgICMFwMI7wucvI982wpKSn4+voSEBBAr169XOsPHz7ciFEJIYQQQgghRFmSsHAqHllR0SiKIKA6FXpXAG2BdlrrU0XrsoG/FU0XNQ24C/hndQOraiiNKjGkwNvbG19f3+p2fVEozLVi8HeOsDD7mSs9f19fX25+pAeLX9mGz5Fc13qzVpgzHbA7iwO7s9izMoGcQCMt2gVxwzXtaBkThNHLeeOlwGoj41wBmTmFZGVZycq2kpNtJTfXRn6ujfz8QvKyC+kSGoC2OsjPKaQgp5CUtDyys6x4O8BQVPnZiD9GIH1Piluc20l3e2/AmfVyKj/X5QBOcY5TnC6zLV9prGaFw8eIyd+ETzMzQSE+hIb50aqVP507hhDgXzoB4cvQsZOI6zuQL954hbPJJ7AXFrJ19b/Y+903DBoznssGXOV2/TUp7X1RN7cn45NDAOT89xj+bYPxivCv1u4+Pj6X3M/axUC+b/XLYDC4ahfU5c1qg8FQrze/hw4dypVXXsmiRYvq7RgXq08//ZQZM2aQkJDAgw8+SFxcHE8++SRnz56t94RFTEwM06ZNY9q0afV6nOpKS0ujc+fO/PTTT8TExDTYca1WK506dWL16tX84Q9/qLStUgqDweD2e9Db27u+QxRCCCGEEEKIGpGEhdPBoq8dAbcaFkqpCCAA+KmyDpRSgTgLa/9SIllR0gacCYse1CBhISpnsJ6vQxHYvOoP3SaTkemP92P3vjR+3HqC04fP4ZVmxc9x/sa7F4rmWQ4Kf8tgzW+/YPQy4OVtxJpvw2GruqSIAdhHZpn1vjTOzX0frfApAArscM4OJwvIJYtcnJMVb0Xj1dyb2A7NCWsTQGjrAELbBODfzEyrjnHc88Jivv/wPX798r9o7SAz5QzrXlvIL+s+Y8g9k2lz2eWNcl4Xyr93BNZjWeRuP40udJD63l7C/+9KjP5ejR2aEKIBffLJJ3h5NdzP/caNG1m4cCHbt28nOTmZNWvWMHr0aLc2EyZM4N1333VbN2LECL788kvX++KE8ZYtW+jXr59rfUFBAZGRkaSnp7NhwwaGDh1Kv379uPLKK1m6dKmr3dKlS7n//vtZvnw5EyZMcDv24cOH2bRpU5XnMmXKFCZOnMhf/vIX/P39+ec/6/7PmxUrVjBt2jQyMjLc1m/btg1//+olmRvC/Pnzufnmm8tNVqSlpdG9e3dOnDjB2bNnad68ebX7nTVrFrNnz3ZbFxcXx759+wAwm83MmDGDmTNnsn79+gs5BSGEEEIIIYTwCJKwcPoOeBIYDqwstW1EiTaVKX5EvaKq1y2KvhbUODpRrqxsK14lisZ7+Vb/htMVl4VyxWXOKYAcDge796exfdspTh06hzGtAH/7+eSCvdCBvfDCCnQbzAYyHQ7sJoU2G1BmRZ4tD4yasPAQfPzMmH2M+Pma6N0hDC9vo+uVY3eAEQptDvLy7OTlF5Kfbyc/30Z+gY2CfDuFVjvBPl60DvShsMBObqaVjLQ8fjuQhsmq8bFpTBUkTAwo7BlWDv18hkM/n3Gtzzdo8v2N+IT5EB49kO4Te5D642cc37MDgFOHDvDv52bSsc8ABv9pPMGtWl/Qv1FDU0oRPLo9hcnZFJ7MwZ6eT9r7e2lxb1eUSaYyEeJSERIS0qDHy8nJoXv37kyaNIlbb721wnYjR45k+fLlrvflPQkfFRXF8uXL3RIWa9asISAggPT086P14uPjWbNmjdu+GzZsICoqCovF4pawsFgsjB8/vsrzyM7O5syZM4wYMYLIyEjX6JqG0qJFi6obNZDc3Fz+8Y9/8NVXX5W7ffLkyXTr1o0TJ07Uqv/LL7+cb775xvXeZHL/8/3uu+9m+vTp7Nmzh8svb5oPEQghhBBCCCFEMUlYOK0HjgB/Ukq9prXeAaCUagY8BVhxFs2maH0rnNNHJWutzwFordOUUvuBOKXUvVrrd0q0bw7MKHq7of5P59Kw7ddTGDmfsDB41e4ms8FgoFvnFnTr7Lz54XA42Hf4LDlJOWQmZnMqIROH3YGXt5HDZ3PBy4DyUhi8jBi9Da7EgrevCR8fLwICzXSOaU54mC/efl54+5swGt1jy8vL4+uvvwZg+PCulU5TU3llhcrdUPTVbneQnJLL8RNZnD6dQ1pqHlnp+eRmFKAzrAQXKhx299EjPg6FT5YDsnLJTMgtGjMyDEdgLORtwmBLBeDgTz9w6OcfuSJ+JIPu+hN+QVXWp/cYystI6LjLOfPGrziyCrEezeTsJwcJ/mOnGk13VWhzkJ6RT/rZfOeUYZnOl7e3iWvj2+JbizoiQoiGUXpKqIKCAp5++mk+/PBDMjIyuOKKK3jhhRcYOnQo4Hxa/sEHH2Tjxo2cPXuW9u3b89RTTzFmzJhqHW/UqFGMGjWqynbe3t5ERERU2mb8+PG89tprLFq0yPX/yLJlyxg/fjxz5851tYuPj+dvf/sbp06dcvX53Xff8eyzz/Liiy+62iUkJHDs2DHi4+MrPa7FYnG1GTZsGECFT/e/+eabvPTSSyQlJREbG8szzzzDPffc49r+yiuvsHz5co4cOUJISAg33ngjL774IgEBAVgsFiZOnAicH1Hy3HPPMWvWrDJTQimlePvtt1m7di1fffUVrVu35uWXX+amm25yHevzzz9n+vTpJCUl0b9/fyZMmMCECRNqPOqhtHXr1uHt7e2WOCp5/hkZGTz77LN88cUXterfZDJVei0EBwczcOBAVq5c6fZ9F0IIIYQQQoimSO6iAVprm1LqXuArYKNSaiWQBdyGsybFDK310RK7PA+MBybirFtR7BHgc+BtpdRdwK9AMHATzhEWH2utv0HUif17UzGWuKlcV0/FGwwGunQMhY4XkirwLEajgTYRAbSJCCh3u93uIONULqnHs0k7ns2O3WfIOZ3nNlVWMT9TLDqgLXbrHmx5P4DOQTvs7Fq/ll3ffoMhqD95wT3AVPmIlzbBfoQHnn9iuMDmYM/Jc5XscV6XVkH4eBld71OyC0hKz61kDyezycAVke4JlSOpORhzrIwATChyfznDpl9Ps6fU5RTi54XZ6oPWsO7AHqz5dpJO5WByaLx1xcmNJbtSmP542ZtYQlwq0pavIH3Fiirb+XTpQtSbS9zWpc94jJSDByvY47yQCRMInTihlhG6e/DBB9m7dy8rV64kMjKSNWvWMHLkSHbt2kXHjh3Jz8+nV69ezJw5k6CgINauXcs999xD+/bt6dOnT53EAM6kQHh4OMHBwQwbNox58+YRGur+/1KvXr2IiYnh448/ZuzYsSQmJrJx40beeOMNtxvXAwcOxMvLiw0bNjBmzBj27t1LXl4ekydPZubMmSQkJBAbG8uGDRvw8fGhf//+lcY2YMAA9u/fT1xcHB9//DEDBgygefPmrmmKiq1Zs4aHH36YRYsWcc011/Df//6XiRMn0qZNG1fCw2Aw8NprrxEbG8uRI0d44IEHePzxx1myZAkDBgxg0aJFPPvss+zfvx9wFvSuyOzZs3nxxRdZuHAhr7/+OnfffTfHjh0jJCSEhIQEbr/9dh5++GHuvfdefv31V2bMmFFhXzWxadMmt0LWxfbu3cucOXP48ccfOXLkSK37P3jwIJGRka7vzfPPP090dLRbmz59+lRrGi8hhBBCCCGE8HSSsCiitd6glBoEzAbuBLyAXcBMrfW/q9nHF0qpAcBjwCBgCJAP/A7MAd6sj9gvVWeTsgkvMc2RKnEDW9SM0Whw1q5oHQB9YcBtHQBIOpnFzt0pJB7J4FxyLvasQsz5DvwcBkzeXTGa47Dl/4w9/2fABroAxzkLPlm/YvTpi9F8GUqV/2smKy2TrFLrqjs240Raepl11d338OmUMutswK9eit7+zlh7OsCebSe58PyoE3uajTycSZhTZ5zjTZyzp1c+EkMl5JCbV4hfDaYsE+Ji4sjOxnb6dJXt7OU8Qe7IyKjWvo7s7FrFVlpiYiLLly8nMTGRyMhIAGbMmMGXX37J8uXLWbBgAa1bt3a70f3QQw/x1VdfsWrVqjpLWIwcOZJbb72V2NhYDh8+zFNPPcWoUaPYsmULRqP7/3WTJk1i2bJljB07lhUrVnDdddeVmS7J39+fPn36YLFYGDNmDBaLhUGDBuHt7c2AAQOwWCzExsZisVjo379/lYWYzWYz4eHhgHNKrYiIiHKnhHrppZeYMGECDzzwAACPPvooW7du5aWXXnIlLEoWzY6JiWHevHlMnTqVJUuWYDabadasGUqpKkebgLP+RvFIlwULFvDaa6/x008/MXLkSN566y3i4uJYuHAh4KwDsXv3bubPn19lv1U5duyY63opVlBQwJgxY1i4cCHR0dG1Tlj07duXFStWEBcXR3JyMrNnz2bw4MHs3r2bwMBAV7vIyEiOHTt2QechhBBCCCGEEJ5AEhYlaK1/Aqqcp0FrPQGYUMG2bcAddRqYKJfpbKHbCAtMjVPU+mIWFRlIVGRgmfXnsgo4dCSDvIwCAgq7kJo0nIRf/kvmmV8A0I5z2HK/xpb3PUbvbpi8u6MMnlMctTwnCzW/59np7GtEKUVPPyPfZ9s4Zy+/vcGkyNWaQgPYTQrMBgxmA0YfI14+JnJP5NA81zn64vdfz9BrQNOq8SFEXTEEBGBq2bLKdsZyakkYmjev1r6GSp66r4ldu3Zht9vp1KmT2/qCggLX6Aa73c6CBQtYtWoVJ06cwGq1UlBQgJ+fX53EAHDXXXe5lrt27Uq3bt1o3749FouFq6++2q3t2LFjeeKJJzhy5AgrVqzgtddeK7fPoUOH8tFHHwHO0RvFU1wNGTLENfWSxWLhz3/+c52dx++//859993ntm7gwIEsXrzY9f6bb77h+eefZ9++fWRmZmKz2cjPzyc3N7fG/6bdunVzLfv7+xMUFMSZM87aTPv376d3795u7atKME2dOpUPPvjA9T67gsRYXl4ePj4+buuefPJJOnfuzNixY2t0DqWVnD6sW7du9O3bl7Zt27Jq1SomT57s2ubr60tubtUjDYUQQgghhBDC00nCQjRJWen5+NsVBrcRFlIouaE0C/SmV/eSNxGjYWIfzhw9guX9f5C0+zfnap2LPX8ruvBn2vQYQIfBI2ke2RYAf28Tfubzv4LsDgfpOdZqHT/Y34zJcP77nVdoIzvfVuV+BgOE+rvfVDqXZ8VqK3oyWGsc3yRhOJiBSSmGRPhhu70D+HuBvZBff/oBgGtHDiOwWeU3SH/58SRbljunR0ndcxYkYSEuUaETaz9dU8hLCwkKCsJgaJjf79nZ2RiNRrZv315mJEPxVEQLFy5k8eLFLFq0iK5du+Lv78+0adOwWqv3+6s22rVrR1hYGIcOHSqTsAgNDeWGG25g8uTJ5OfnM2rUKLKySo9fc9axmD9/PidOnMBisbhGiQwZMoS33nqLw4cPk5SU5KpJ0RCOHj3KDTfcwP3338/8+fMJCQnh+++/Z/LkyVit1honLLy83EeyKaUuqBj4nDlzqjVtVFhYGGfPnnVb9+2337Jr1y5Wr14NgNba1fbpp59m9uzZtYqpefPmdOrUiUOHDrmtT09P96hC5EIIIYQQQghRW5KwEE1SyjHnzRijoe5rWIjaC49pxx1/nc/JA/v4Zd1nHPhxM9rhwGG3kfjzRhJ/3kjU5d3oed3NhPX8AwaD+w3BZqEVFx+vTADe1PY2TUCw+9QnelwQKW/vxJqYhcopxO+bJFpM6UaB3YrRx3nDyWSuevqx7n+I4NdVh8nPKeTozlSs+TbMUnxbCI/Wo0cP7HY7Z86cYfDgweW22bx5MzfffLPryXmHw8GBAwfo0qVLvcV1/Phx0tLSaNWqVbnbJ02axHXXXcfMmTPLJFqKDRgwALPZzJIlS1x1OAB69+5NSkoKy5Ytc00dVVc6d+7M5s2bGT9+vGvd5s2bXf9W27dvx+Fw8PLLL7uSUqtWrXLrw2w2Y7dXMNStBuLi4li3bp3bum3btlW6T3h4uGvqq8r06NHDbSQGwMcff0xeXp7bsSZNmsSmTZto3759DSJ3l52dzeHDh90KlwPs3r2bHj161LpfIYQQQgghhPAUcvdMNEmnEs6htcaozicpZISF54jsdBmRnS4jMzWFHV/9l53rv6QgJweApD07Sdqzk+YtW9Fj1I1cMfQazL51N5XKhVJeBkLv6cKZN3Zgzyig8EQ2Zz86gO8tbWvUj9FooH2vcPZsPIGt0EHCb6nE9a16DnYhROPp1KkTd999N+PGjePll1+mR48epKSksH79erp168b1119Px44dWb16NT/88APBwcG88sornD59utoJi+zsbLen4xMSEtixYwchISFER0eTnZ3N7Nmzue2224iIiODw4cM8/vjjdOjQgREjRpTb58iRI0lJSSEoKKjC4/r6+tKvXz9ef/11Bg4c6EpsmM1mt/WlRylciMcee4w77riDHj16cM011/Cf//yHTz75hG+++QaADh06UFhYyOuvv86NN97I5s2bWbp0qVsfMTExZGdns379erp3746fn1+tpt+aMmUKr7zyCjNnzmTy5Mns2LGDFUXF4JW6sCklR4wYwZNPPsnZs2cJDg4GKJOUSE1NBZxJnObNm1e77xkzZnDjjTfStm1bTp48yXPPPYfRaHTV6ii2adMmt0LrQgghhBBCCNFUScJCNEmnEzIBO8YSBZ1lhIXnCQprwVV3T6T/bWPY8916fvnic84mnwAg43QyG1b8P75f+T7Nwlvi5eOD2ccXL28fzD4+ePn44uXj4/beZDZjtxViKyig0GrFZrVisxaU+9VeWIjRywujlxmTlxcmsxmjlxcmLzNGs3Odc5sZs58v0Zd3o1m4M6FgDDQTNuFyziz5DW21k7crFZrX/CZep97OhAXA9k3HJWEhRBOwfPly5s2bx/Tp0zlx4gRhYWH069ePG264AYBnnnmGI0eOMGLECPz8/LjvvvsYPXo0586dq1b/P//8s6vgNDgLUQOMHz+eFStWYDQa2blzJ++++y4ZGRlERkYyfPhw5s6dW2ExbKUUYWFhVR47Pj6ejRs3uupXFBsyZAgbNmxwi6sujB49msWLF/PSSy/x8MMPExsby/Lly13H7969O6+88govvPACTz75JFdddRXPP/8848aNc/UxYMAApk6dyp133klaWhrPPfccs2bNqnEssbGxrF69munTp7N48WL69+/P008/zf33319lkfGqdO3alZ49e7Jq1SqmTJlS7f2OHj1KbGwsGzZsKPM9KXb8+HHGjBlDWloaLVq0YNCgQWzdutVt+qctW7Zw7tw5br/99gs6D1F9SqmxwGCgF9AVMAMTtdYrymk7C3iuku5itdZHy9lvBPAU0BPQwHZgntZ6/QWGL4QQQgghhEdTxXPqiqZJKdUGSAI4cOAAHTt2bOSI6p/VauMf07/HXpBLK/t39G3hvInU/Ob2BPSPbOToqicvL4+vv/4agOHDh+PrW7upkJoa7XCQ8Nt2tq/9jMRdOxo7nDLCY9rToU8/OvYZQGibaPL3nyXt3T3O2wRAQods0ltYq/090w7NG9M3ovLs2NHcMacfEeGeXXz8YnOp/qw1hoMHD2Kz2TCZTBf8f5HD4SAzMxOgQWtYiNprit+z+fPns3TpUpKSki64r7Vr1/LYY4+xe/fuap/7hg0buPXWWzly5IhrZEZt3HnnnXTv3p2nnnqqwjYV/XwePHiwZJH5KK318VoHcglRSh0F2gKpQE7RclUJi3eBo+V0t0hrnVFqn7HA+0AK8O+i1XcCYcAdWuvVF34WbsdzfZ5ISkqiTZs2ddm9EEIIIYS4SB0/fpyoqKjit3X2ecLjRlgopezACq315CravY3zg4HHnYOoXzt2p+IodCAjLJoeZTDQrkdv2vXoTWriUbav+5yEX7dRkJuLzVrQ2OFx5uhhzhw9zA+r/klwq0g69BlA+z7d0T9mA9D2sD8F3tUv4KoMCmukD96HczCi+OKLI0wc37W+whdCCFGJJUuW0Lt3b0JDQ9m8eTMLFy7kwQcfrJO+r7/+eg4ePMiJEydK/sFeqXXr1vHUU09dULLCarXStWtXHnnkkVr3IWrlXuCg1vqYUuoJ4Plq7LNCa22pqpFSKhh4HWcypGfxhz6l1AvAr8CbSqmvtNZZtY5eCCGEEEIID+aJN/tV0au6bcUlZvfuFOeCtmMombCQGhZNSlh0DCOm/sX13uGwU5hfQGF+Htb8fArz8yjMz6ewIP/8e2sBJi8zJnPxyxsvs7fbe5PZjMnbG6PJhN1mw15Y6JwqqtDqWrYXWrEVFjrXWa1knD7FoW1bOX3koCues8kn2fbZaraxmn6RN9HWuzMGrWi/PwD72QKo5pP6/eOj+eXw7wCc3JVWt/+IQgiPkpiYWGkti7179xIdHd2AEdXeqFGj2LRpU7nbnnrqqUqf5vdUBw8eZN68eaSnpxMdHc306dN58skn66z/adOm1aj9woULL/iYZrOZZ5555oL7ETWjtf6mHrv/I9AceK7kE2pa6+NKqb8Ds4BbgPfqMQYhhBBCCCEajScmLKrLDyhs7CBEwzuTkEkgoGWExUXFYDDi7eeHdy2KqVbEqwbTkve79U4yU89waNtWDv70Ayd+34vWztEUP578L94RvkT4xuBlM3D6zW3kj+9IWIeYKvvt27Ml33n9TmAhNMu2k5B4jtjoZrU8IyGEJ4uMjGTHjh2Vbm8q3nnnHfLy8srdFhIS0sDR1I1XX32VV199tbHDEJeuq5RSfQEHcBD4RmudXU67oUVfvy5n21c4ExZDqEHComjKp8q4imzl5eVV+LMvhBBCCCFESfX1d2OTTFgopZoDg4DkRg5FNAKd5pw6yKELMRpKXMIywkJcoKCwcHqOuomeo24iN/Mch3/+kUPbtnBs56/8cOZTrml1D0HmULwLfTj+9y1Ymr9N1xEj6dC7H0ZT+UW5DQYDfh0C4fcsFIqvvjzC1Pt6NPCZCSEagslkokOHDo0dRp1o3bp1Y4cgxMVmdqn3GUqph7XWpRMPxUVGDlLWwVJtqqvahVo2btxIWFhYDbsXQgghhBCXotTU1Hrp1yMSFkqpI6VW3a6UGlpBcxPOp4CMwFv1GJbwQKln8wi0akCRa3ZgdMgIC1E//IKa0XXYcLoOG05Bbi77f/qBn9d+Q3/7EHyNAYT5tCE/LZe1i17Et5mzbberRxLUIrxMX0OujeH733cBkP57RgOfiRBCCCEa0W/AJMCC82GrCOAGYA6wQimVobX+vET74mGY58rpK7NUGyGE8EgPb/GIW02iCov72xrkOHI9eL6GuhZAroemoCGvh4p4ylUSU2JZAwFFr4pYgU+BpjeBsrgg27afQhWVLjE1N2I8KzUsRP3z9vOjY9+BJJzL4fDZXLoc8MPgMNDGvxM9Q69le9rX/LhmFT99uprYHr3oPvw6Yrr3xGAwAtC9SwvW+kCzfGiWp9m9L40rLgtt5LMSQgghRH3TWq8pteoo8Hel1O/A/4B5wOel96tjVVWCjwC2AVx11VW0aVPVDFJCCFGFLd82dgSiGoYPH94wB5LrweM12LUAcj00ATW5Ho4fP151o1rwlIRFbNFXBRwBVgOPVdDWCqRorRs/3SMa3OF96a5K6yER3hgyjK5tMsJCNISCYBPN/hRH1r8OgUPTIagHeY5s9p79Aa0dHPllG0d+2UZQi5Z0u3oEXa4aRmBoGMGXNcexIwOADf9LkISFEEIIcQnTWq9XSh0GuiqlgrTWxaMnikdWNAPSSu0WVKpNdY9V6SdJpZRr2dfXF19f35p0L4QQoomS3/eimFwLoqSaXA/1de14RMJCa32seFkp9S6wqeQ6IYqdO5FN86Ll2Gh/jPtlSijR8MztmxH8x06c/fd+ALo2H0zrKy9ny841ZKc55+/LTDnN9yvf4/t/v0+bzpfT8bK+7HOYUQZfcg5m4nA4MBjkmhVCCCEuYalAB8CP89M9HQT+gLNORemERWX1LYQQQgghhLgoeETCoiSt9cTGjkF4JofDgfc5G6DIV5rIlj6kK0lYiMbh3yMcR2YB5744CkBIYgj3PPgSJ3MP89v/1nH0t19Aa9Ca43t3c3zvbjQGjF6x+Jkv4/ihK4juVLbehRBCCCEufkopf+ByIAdn4qLYd8AYYDiwtdRuI0q0EUIIIYQQ4qIkd3hFk3HyRDa+DueQ9fwgEw6bDaOSGhai8QRc1YaAAZHONw44++F+olt24bYnZzN58dsM+OPdBLdq7WqvcOAoPExhzlo+nn0/X/z9ZRJ2bMdhtzfSGQghhg4dyrRp0xo7DCHERUgpFaiU6lTOel/gbSAQWFVqqttVOKd8ekgp1abEPm2AB3EmN0rXxRBCCCGEEOKi4ZF3eIv+uJ+plPqfUmqvUupIBa/DjR2raDh5p/Jcy316RWAvLMQgCQvRiJRSNLuhHb5dwwDQhQ5SV+zBlppH85YR9L99DBNfXcrY5xfR6/rR+DULdu3rsBWwd9MGPnn+OZZOHce3y98iJ+NsY52KEJesTz75hLlz5zbIsTZu3MiNN95IZGQkSik+/fTTMm0mTJiAUsrtNXLkSLc2xeu3bnV/+LqgoIDQ0FCUUlgsFgD69evH1KlT3dotXboUpRQrVqwoc+zBgwdf8HkKcbFTSt2rlFqhlFoB/LFotWudUureonWhwD6l1I9F6/+mlFoOHMA5imIXper2aa3P4kxMhAG/KKVeV0q9DvxS1N8DWuusej9JIYQQQgghGonH3eFVSkUCvwELgKuBy4CYSl7iEnEq4Xx9wU6Xh2ErtGJUUnRbNC5lUITcEYc5thkAjpxCUpbtxp5ldW5XipbtOjB03L1MWbqCNldMxGi+ApS3q4+8zHP8+uV/eP+Jhzm+b0+jnIcQl6qQkBACAwMb5Fg5OTl0796dN954o9J2I0eOJDk52fX68MMPy7SJiopi+fLlbuvWrFlDQECA27r4+HhX8qLYhg0biIqKKrPeYrEwbNiw6p+QEJeuQcD4olfPonUDS6wbVLQuHVgCKOA6YDpwG3ASeBzoq7UuXacCrfUHwChgHzARmADsBYZrrT+qlzMSQgghhBDCQ3jiHd4FOBMRvwF3Ad2B2Ape7RonRNEYTidkupZbxgRht1oxGpwjLDSAUTVOYOKSp7wMhI3rgqmlHwD29HxS392Do8B9qieDwUj3awfg5T8c72ZTCL3iT3TqOxCjlxcAOWfTWTX7Sbav/RStdYOfhxCXopJTQhUUFDBjxgxat26Nv78/ffv2dbupn5aWxpgxY2jdujV+fn507dq13GRCRUaNGsW8efO45ZZbKm3n7e1NRESE6xUcHFymzfjx41m5ciV5eedHHy5btozx48e7tYuPj2f//v2cOnXKte67777jiSeecDu3hIQEjh07Rnx8fLXPR4hLldZ6gtZaVfKaUNQuU2v9oNa6j9Y6XGvtpbUO0lr31Vov1FrnVXKML7XWV2mtA7TWgVrroVrrbxrsJIUQQgghhGgkHld0G2cxudNAvNb6XFWNxaXBXuggJck5+r1ZuC8+/l7YbTZ8iqeEMjqfZBeisRh8TYRNuoKUJTuwn7NSeDybtH/+Ttj4Lijj+dxwbLcwHAoMmEhNbsmfFt1BYW4W615fSOLunWiHA8t773DywD5GTP0LZl+/RjwrIS7MqgXbyM201mJPjcPhTNoZDArnw8nV5xdk5o6netf4qA8++CB79+5l5cqVREZGsmbNGkaOHMmuXbvo2LEj+fn59OrVi5kzZxIUFMTatWu55557aN++PX369Knx8SpisVgIDw8nODiYYcOGMW/ePEJDQ93a9OrVi5iYGD7++GPGjh1LYmIiGzdu5I033nCb4mrgwIF4eXmxYcMGxowZw969e8nLy2Py5MnMnDmThIQEYmNj2bBhAz4+PvTv37/OzkMIIYQQQgghhKgpT0xYBAPrJFkhStr6SzIOW9HNqzDnVDrOKaGKpvEwVrSnEA3H1MybsElXcObNneh8GwUHzpL5bRLNrm3rauPt50VWqIlmqTZ8HYqvLYncMLwdtz09l83//oCfPnXO9HBg6/ekJh7lpulPEdomurFOSYgLkptpJSejoLHDqJbExESWL19OYmIikZGRAMyYMYMvv/yS5cuXs2DBAlq3bs2MGTNc+zz00EN89dVXrFq1qs4SFiNHjuTWW28lNjaWw4cP89RTTzFq1Ci2bNmC0ej+n92kSZNYtmwZY8eOZcWKFVx33XW0aNHCrY2/vz99+vTBYrEwZswYLBYLgwYNwtvbmwEDBmCxWIiNjcVisdC/f3+8vb0RoqlQShmBvjinZWqJ83PEWZwPP20HftJa2yvuQQghhBBCCOFpPDFhkYRnTlUlGtHe3Smu5dxA5w0bt6LbMh2U8BBeLf0JG9+FlLd3ggPydqW6JSwAOvVuyekvTgCw+4dkbhjeDoPByOAx42nVIY4vl7xKQW4O6SeP88+nHmX41L9w2YCrGuN0hLggfkHmWu554SMsamrXrl3Y7XY6derktr64kDWA3W5nwYIFrFq1ihMnTmC1WikoKMDPr+5GQt11112u5a5du9KtWzfat2+PxWLh6quvdms7duxYnnjiCY4cOcKKFSt47bXXyu1z6NChfPSRMxlqsVgYOnQoAEOGDMFisTBx4kQsFgt//vOf6+w8hKhPSqlBwP8B1wP+JTdRNFNokWyl1FrgDa315gYMUQghhBBCCFFLnpiwWA3cp5Ty11rnNHYwwjOkHssmqGi58xXOp0edIyycl7AyScJCeA7v2GZ4RQZQeDwb25lcHLmFGPy8XNtHXtuO//flcby1wnw6n+zcQgKKtnfo3Y+7n3+V/7y8gJTEoxQW5LN28YskH9jHVWMnYjR5VXRYITxObaZlAnA4HGRmOusWBQUFYTDU/3MM2dnZGI1Gtm/fXmYkQ3Eh64ULF7J48WIWLVpE165d8ff3Z9q0aVittZn2qnratWtHWFgYhw4dKpOwCA0N5YYbbmDy5Mnk5+czatQosrKyyvQRHx/P/PnzOXHiBBaLxTVKZMiQIbz11lscPnyYpKQkKbgtPJ5SajDwKtADZ3LCAewC9gBpQCbQDAgFrgC64KyJd6dS6hfgUa31pkYIXQghhBBCCFFNnjiSYS7OURarlFLhjR2M8Awq3XkzyIamVzfnZWG3FmJUzptKyuSJl7K4lHm3DXItFyS530AM8PPC2tLH2U4rvvzfEbftwRGRjJn3El2uOn/z8JcvPmfV7KfISk+tx6iFuHT16NEDu93OmTNn6NChg9srIiICgM2bN3PzzTczduxYunfvTrt27Thw4EC9xnX8+HHS0tJo1apVudsnTZqExWJh3LhxZRItxQYMGIDZbGbJkiWuOhwAvXv3JiUlhWXLlrmmjhLCUymlVgIWoCvwOXALEKy1vlJrfbfW+i9a62e01g9prf+kte4GhAC3Af8FugEWpdSHjXQKQgghhBBCiGrwxLu8fwcOA6OAQ0qpb5VSK5RSy8p5/aORYxUNIPl0DoE253K2nwEfb+eoCrut0DXCAklYCA9jLpGwsB7LLLP9igHnbz4e2Ha6zHYvbx9GPvAI19z7fxhNzuv85IHf+eCJaSTu3lkPEQtxaevUqRN3330348aN45NPPiEhIYGffvqJ559/nrVr1wLQsWNH/ve///HDDz/w+++/M2XKFE6fLvvzW5Hs7Gx27NjBjh07AEhISGDHjh0kJia6tj/22GNs3bqVo0ePsn79em6++WY6dOjAiBEjyu1z5MiRpKSkMGfOnAqP6+vrS79+/Xj99dcZOHCgK7FhNpvd1nt5yQgu4dFuAZYA0VrrW7TWn2mtyw4pKkFrnam1XqO1vhmIBpYW9SOEEEIIIYTwUJ54l3cCMLpoOQAYCowrWl/eS1zktv1yyrXsHeHrWrYVWDEUj7Dw8sRLWVzKqkpYDB8aTZ7BOc22f2ohaRl5Zdoopeh+7Sjumv0igWHOqdByz2Wwet4zHNu5o34CF+IStnz5csaNG8f06dOJi4tj9OjRbNu2jehoZ+H7Z555hp49ezJixAiGDh1KREQEo0ePrnb/P//8Mz169KBHjx4APProo/To0YNnn30WAKPRyM6dO7npppvo1KkTkydPplevXmzatKnCYthKKcLCwjCbK6/bER8fT1ZWlqt+RbEhQ4aQlZVFfHx8tc9DiEYSVzR6ovpZwhK01qe11v8HdK7juIQQQgghhBB1yBNrWExs7ACEZ0nYn+66UKM6NHetdxTaXcsGr/KnwRCisZiaeWNs5o39XAHWpCy0XaNKFIc3m0042vhBYh4mFF98mcDYu7qU21dEh06MfX4R615/iWM7f0VrB7988Rltu13ZQGcjxMXLYrG4lr28vJg9ezazZ88ut21ISAiffvpprY81dOhQtNYVbvf19eWrr76qsp/K+mjevHm522fNmsWsWbPKrH/uued47rnnqjymEI1Na320jvpJqIt+hBBCCCGEEPXD4xIWWut3GzsG4VmyT+bSvGi5x5UtXet1ocO1rCRhITyQuW0geTsL0FYHhadyMLcOcNve+6rW7P3gEADHfk1xlgWtgF9QM259chZ/n3gXhfl5pCYdq8/QhRBCCCGEEEIIIYRocDKPjvBodpsD3yxnAYtcg6ZDTDPXNl1yhIVZEhbC87hNC5VYdlqoq/q1Iacobdw8005elrXS/gwGI2HRbQHITDlDQW5u3QUrhLggiYmJBAQEVPgqrlMhhBBCCCGEEEKIinncCIuSlFJdgAFAC2CP1vrzovUGwKS1rvzunmjydu1Pw1s7p9EpbO6FwXA+x+awnR9hYTB79KUsLlHeJRIWBccyCegf6bbdaDLQb2gUu75JAg2HfznDFUPaVNpni6gYkg/sAyA16Rit42QqbiE8QWRkpKuYdkXbhRB1SynVDpgJXA1EAuUXewGttZY/FoUQQgghhGgCPPIPd6VUFLAcKFkB8l3g86LlPwNLlFLDtdbrGzo+0XAM6edzUrGdgt03FjqgqCSAMslgIeF5vFr5o7wM6EJHuYW3ATr3jXAmLICju9OqTFgUj7AASE1MkISFEB7CZDLRoUOHxg5DiEuGUqoHYAECcP1FWHHzeg9ICCGEEEIIUSc87i6vUioE+A4YBuwB3qTsh4xVgAO4qWGjEw0tPSnbtTy4v/uNXG0rWcPC4y5lIVBGA15tAgGwny3AnllQpk1YmwC8/Zy545TErCr7DIuOcS2nJEodCyGEEJesF4BA4BOgFxCktTZU9GrcUIUQQgghhBDV5Yl/vM8EYoCXgO5a6wdLN9BanwV2AYMaNjTR0E4nnHMuKAhvG+i+0a5di5KwEJ7KfVqosgkJpRRhbZzFuHPPWUlLrbwuRcmERWri0TqJUQghhGiC+gP7gTu01r9qrbOr2kEIIYQQQgjh+TzxLu/NwFHgCa21rqTdEZxz1YqLVKHVTtqJHABCI/0x+5SawcxWImEhU0IJD2UukWiraFqoU4bzo4W2bD9VaX++AYEEhIQCzoRF5b8mhRBCiItWIbCjis8LQgghhBBCiCbGE+/ytgV+0Vo7qmhnBUIaIB7RSHbsOI12OD+DhpV4Sr1YyStEEhbCU5mjz1+71sTyExaBrfxcy8cOn62yz+JRFgW5OWSlpV5YgEIIIUTT9AtQeeEnIYQQQgghRJPjiXd583HOR1uVaOBcPcciGtHPv55/0vy4spXZXnKVJCyEpzL6e2Fq4QuA9UQ2urBsLrZzlzDX8rmTlU8JBdCi5LRQSUcvOEYhhBCiCXoJ6K+UGtrIcQghhBBCCCHqkCfe5d0H9FRK+VfUQCkVBnQHdjZYVKLBnU08PxXxFd1alG1QcoSF1LAQHsw1ysKusZ4oW8fiirgQbDhHExnOFVbZn1vh7WNH6yJEIUQdU0rx6aefNnYYQly0tNZfAg8DnymlnldKXaWUilFKRZf3aux4hRBCCCGEENXjiXd5VwOhwCtKqYriWwj4Af9usKhEgzNlOG/cWpWm++XhbtscdjuGEpevjLAQnqxk4e3y6liYzSZyfJ3XcGAhpGXkVdpfWFRb17IU3hai6YuJiUEp5fb629/+5tpusVhQShEcHEx+fr7bvtu2bXPtA5CdnY2XlxcrV650a3fXXXehlOLo0aNljv3Xv/61fk5MiPr3C3ASeBzYABwGEsp5HWmsAIUQQgghhBA144l3ed8AdgP3Aj8ppZ4qWt9eKfWoUmoLMA7YAaxolAhFvUtIPIe/3XnzJdffiFephIS9sBCjOl+EW0ZYCE9WsvB2wbGyIywATKHeruUdO1Mq7S+kdRQGoxGA1KRjdRChEKK6CgurHgVVG3PmzCE5Odn1euihh8q0CQwMZM2aNW7r/vGPfxAdff7h8YCAAP7whz9gsVjc2lksFqKiotzWJyQkcOzYMYYNG1an5yJEQ1BKDQLWA3GAAtKBxApeSY0UphBCCCGEEKKGPO4ur9Y6HxgBbAF6AnOLNg3CObKiL/AzcIPWun7uGohGt71E/Qq/SL8y222FVveEhYywEB7M1MIP5eO8Xq3HMtFal2nTIup8UuPwgfTK+/PyIrhVawDSTxzHbpNfhULU1tChQ/nLX/7C448/TkhICBEREcyaNcu1XSnFm2++yU033YS/vz/z588H4LPPPqNnz574+PjQrl07Zs+ejc1Wtt5SdQUGBhIREeF6+fuXnRlz/PjxLFu2zPU+Ly+PlStXMn78eLd28fHxbomJ33//nfz8fO6//3639RaLBW9vb/r371/ruIVoRPMAH+AVIFRr3UJrHVvRq5FjFUIIIYQQQlSTqeomDU9rnQwMUkqNAK4H2uFMriQBXwCf6fLu+ImLRuLBDIqfN2/bMbjM9tIjLJARFsKDKYPCu20g+fvP4sgpxJ6WjynM161Nx7gQftviHFmRfiKnyj7DomNIO56Iw24j/eQJt0LcQniKD56cRk7G2Vrt63A4CxUZDDX//e7fPJixzy+qdvt3332XRx99lB9//JEtW7YwYcIEBg4cyLXXXgvArFmz+Nvf/saiRYswmUxs2rSJcePG8dprrzF48GAOHz7MfffdB8Bzzz1X43gB/va3vzF37lyio6P505/+xCOPPILJ5P5n2j333MPChQtJTEwkOjqajz/+mJiYGHr27OnWLj4+nueff57k5GRatWrFhg0bGDRoEMOGDeOtt95ytduwYQP9+/fHx8enVjEL0ch6Ar9qrWc0diBCCCGEEEKIuuORCYtiWuuvgK8aOw7R8PJO5bkSFn/o2bLMdlthIQZldL2XERbC05mjg8jf77xxW3Ass0zC4squLfiVfRhQ6PSCKvtrER3D/h82As46FpKwEJ4oJ+Ms2elpjR1Glbp16+ZKNHTs2JG///3vrF+/3pWw+NOf/sTEiRNd7SdNmsQTTzzhGtnQrl075s6dy+OPP16rhMVf/vIXevbsSUhICD/88ANPPvkkycnJvPLKK27twsPDGTVqFCtWrODZZ59l2bJlTJo0qUx/AwcOxGw2Y7FYGDNmDBaLhSFDhtCrVy9SU1NJSEggNjaW7777jsmTJ9c4XiE8hBXY39hBCCGEEEIIIeqWRycsxKXJarXhn20HFNlGiG4dVKZNmRoWkrAQHs5csvB2Yib+vdwTcQH+ZrLNiiArBBRoCvJtePtU/Cs6rESCQgpvC0/l37zsCLnqutARFjXRrVs3t/etWrXizJkzrvd/+MMf3Lb/9ttvbN682TU9FIDdbic/P5/c3Fz8/MpOZViZRx991C0Ws9nMlClTeP755/H29nZrO2nSJB5++GHGjh3Lli1b+Oijj9i0aZNbGz8/P3r37u1KWHz33Xc89thjmEwmBgwYgMViQWtNYmIi8fHxNYpVCA/yI9CpsYMQQgghhBBC1C1JWAiPs2N3Kl44C27bQ7zKbSM1LERTY44KdJYE1c46FuXpGBfC6V3pGFCcO51LeNuyybpiJUdUpEjCQniomkzLVJLD4SAz0/lzEhQUVKukRU14ebn/X6OUciVMgDL1JLKzs5k9eza33nprmb7qYnqlvn37YrPZOHr0KHFxcW7bRo0axX333cfkyZO58cYbCQ0NLbeP+Ph4/v3vf7Nnzx7y8vJc00YNGTKEDRs24HA48PPzo2/fvhccrxCNZC6wUSk1Rmv9YWMHI4QQQgghhKgbjZ6wUEodATRwjdY6oeh9dWmtdft6Ck00kswS8/eHRAWU28ZeOmEhNSyEhzN4G/Fq5U/hyRwKT+fiyLdhKDWCokNRwgIgNSm70oRFYFgLzL5+WPNySU08Vq+xCyHc9ezZk/3799OhQ4d66X/Hjh0YDAbCw8PLbDOZTIwbN44XX3yRL774osI+4uPjmTdvHv/6178YNGgQRqNzGsWrrrqK//f//h9aa9fUUUI0UWZgEfC+UuomnHXuEgFHeY211hsbLjQhhBBCCCFEbTV6wgKIwZmw8Crxvrqk8PZFSJ21upZvjI8tt41MCSWaInPbIApP5jhHWSRm4dPJfdqaFlGBruWUxKxK+1JKERYdw8n9e8lKSyE/Jxsf//ITfEKIuvXss89yww03EB0dze23347BYOC3335j9+7dzJs3r0Z9bdmyhR9//JH4+HgCAwPZsmULjzzyCGPHjiU4uPyprebOnctjjz1W4egKgAEDBuDt7c3rr7/O008/7Vrfp08fzpw5w2effcaTTz5Zo1iF8DAWnJ8FFHBH0asiGs/43COEEEIIIYSogif84V58R/pEqffiEnU6wTkNiMGgaNk2sNw2ZYpuywgL0QR4tw0iZ0sy4Cy8XTphEVZiRFFKUuUJC4AW0W05uX8v4Kxj0abzFXUYrRCiIiNGjOC///0vc+bM4YUXXsDLy4vLLruMe++9t8Z9eXt7s3LlSmbNmkVBQQGxsbE88sgjbnUtSjObzYSFhVXar4+PD/369eO7775j6NChbsfr168fFotF6leIpm4j8vCSEEIIIYQQF51GT1horY9V9l5cWgrybJw95ZwSKiwqAJPZWG47Zw2L83OOywgL0RSULrxdmrefF6YgL2yZhZw8lkmhzYFXJdd2WFSMazk18ZgkLISoBYvFUmbdp59+6lrWuvz7oSNGjGDEiBEV9lvRfqX17NmTrVu3Vtpm6NChlfY3evTocreXd24AGzZsqFZsQngyrfXQxo5BCCGEEEIIUffkLq/wKEcPpLuelWsZU/H8/c4poWSEhWhajM29MQQ554u3JmahHWVvMKZ5OdcZHbBnf2ql/YW1jXEtpyYdrbM4hRBCCCGEEEIIIYRoDB53l1cpFaWUGqeUiqukzWVFbdo0ZGyi/n29Kcm1XNCs4gFApWtYYFT1GZYQdUIphXfRKAtdYKfwdG6ZNkGt/F3Lv+9Nq7S/sKi2ruWUY0frJkghRJ1asGABAQEB5b5GjRrV2OEJIYQQQgghhBAepdGnhCrHQ8B04PJK2ihgBfA34KkGiEk0kKzj2TQrWm7VrnmF7UomLLRBo5QkLETTYI4OIm+Xc+SE9Vgm5hIJCoDo9s1J2n0OgOSjZaeNKsnHP4DA0BZkpaWQmnQMreVnQQhPM3XqVO64o/xawL6+vg0cjRBNl1Kqp9b6F0/pRwghhBBCCFE/PG6EBTAc+F1rva+iBlrr34G9wMgGi0rUO4fDgTnTBkC+0nQpVZC4JFuhFaOhKN9WfpkLITySuUQheeuxsgmJ7l1buJbzzuRV2V+LommhrHm5ZKWmXHiAQog6FRISQocOHcp9tW7durHDE6Ip2aaUWqmUuqw2OyulLldKrQK2XWggSqmxSqm3lFI/K6UKlFJaKTWhnHZeSqnblFLvKqV+V0plK6WylFI/KqXuV0qV+StWKRVT1F9Fr1kXGr8QQgghhBCezBNHWEQBm6rR7hAwsJ5jEQ1o/+EMfB3Op8Pzg0wYDBXn02xWKwZV9GSqTAclmhBzZACYFNg0BeUU3m7bJohcg8bPofDJtuNwOCr9WQiLasuRX5z3XlISEwhqEV5vsQshhBCN6DXg/4A/KqW24BxtvV5rnVDRDkqpdsC1wASgD2AHFtdBLPOAtkAqkFy0XJ72wGogG1gPfA40A24ElgDXKaVu0lqXLWoFvwGflrPeciGBCyGEEEII4ek8MWHhB1T9WLGzTWCVrUSTsWPHaddyYGv/SlqC3VaIUQU430jCQjQhymTA3CYQ69FM7Gn52LOsGAPNbm2sgSb8ztnx0YpDR8/RqV3Fo43ComNcy6mJx2jfq299hS6EEEI0Gq31I0qp/wcsBEYB/QGUUinA70AakAkEAaFAZ6BFiS7WAY8XjdS+UPcCB7XWx5RSTwDPV9AuC2eS5V2tdU7xSqXUdJyJhxuA24GPytl3h9Z6Vh3EKoQQQgghRJPiiVNCJQNXVqNdd+BM/YYiGtKJw+dcy7FxFd+ghVJFtyVhIZoYc1HhbQBrOaMs/Fqen9d+1+7Kp3lqUSJhkZJ49IJjE0IIITyV1vp3rfUNwGXA34EkIBwYAtyKcyTFrUXvw4u2vw5cprW+sY6SFWitv9FaH6tGuxNa6yUlkxVF63OAV4reDqmLmIQQQgghhLhYeOIIi03AWKXUbVrrj8troJS6FecHlX81aGSiXhWczqP4Nm2fnhGVtrWVSFgokyQsRNPiHR1EdtFywbEsfC8Pc9veOrYZKQecLY4nnKMywZFtMBhNOOw2UiVhIYQQ4hKgtT4IPAw8XDTtUw+gJc7pljJwPtT0S2XTRXmAwqKvtgq2Ryql/g/nOZ0GLFrrw7U5kFKqTRVNXH945+XlkZdXncHuQgghmjr5fS+KybUgSqrJ9VBf144nJiwWA3cD7xX9cb1Ma50FoJQKBCYB8wEHzrlsxUUgN6+QgDwHoMjygpYtqpgSymrFUFyn0MsTBwoJUbGqCm9fcXkYG746AUDOqdxK+zKaTIS0bkNq4lHSTx7HVliIycurbgMWQgghPJTW+ghwpLHjqIVJRV+/rmD7tUWvYlop9U9gaukRG9WQVN2GGzduJCwsrOqGQghRKU+81SRK+/rriv4LqmtyPXi6hrsWQK4Hz1eT6yE1NbVeYvC4O71a61+AJwFfnEOl05VSiUqpRCC9aJ0f8IzW+qfGi1TUpZ9/O42JopESIebKGwP2Artr2WDyuMtYiEoZA8yYQn0AsJ7IQtscbtvj2gVjL8rHhRZWPYKoeFoo7XCQfqLa9ySEEMDQoUOZNm1aY4chhLiEKKXuw1mH41ut9bpSm3OBuUAvoDkQAlwD/ASMBd5ruEiFEEIIIYRoeB6Z1tJaL1RK7Qdm46xVUXIY82/AbK31p40Rm6gfR/addS23iKm6lrouPJ+wUDLCQjRB5rZB2NLywaaxnszGO/p8XQujyUBUu+acPJiBLdtGXrYV34CKE3luhbeTjhEe064+QxfiovLJJ5/g1UCjkjZu3MjChQvZvn07ycnJrFmzhtGjR7u10Vrz3HPP8fbbb5ORkcHAgQN588036dixo6uNUs5E5pYtW+jXr59rfUFBAZGRkaSnp7NhwwaGDh1Kv379uPLKK1m6dKmr3dKlS7n//vtZvnw5EyZMcK2fMGEChw8fZtOmTfXzDyCEQCl1A876G8dwJiDcaK3PAM+WWr1eKbUF+AW4VSnVs+ghr+qKqmJ7BLAN4KqrrqJNm6pmkBJCiCps+baxIxDVMHz48IY5kFwPHq/BrgWQ66EJqMn1cPz48XqJwSMTFgBa68+Bz5VSLYHootWJWuvTjRiWqCeRdgMHi5b79Y6ssr22np/uV3kZ6ykqIeqPuW0Qub+cAZzTQpVMWACERQVw8mAGAKmJ2UR1Camwr7Dotq7llGMJMDi+7gMW4iIVElLxz1Zdy8nJoXv37kyaNIlbb7213DYvvvgir732Gu+++y6xsbH89a9/ZcSIEezduxcfHx9Xu6ioKJYvX+6WsFizZg0BAQGkp6e71sXHx7NmzRq3Y2zYsIGoqCgsFotbwsJisTB+/Pg6OlshRGlKqeuA1ThrUgzTWidXd1+tda5S6n1gHjAQZ/KiuvtW+kmyOAkK4Ovri6+vbyWthRBCXCzk970oJteCKKkm10N9XTse/2i61vq01npb0atekxVKqd5KqXVKqQylVI5SaqtS6o5a9BOulHpVKXVQKZWvlEpTSm1RSt1fH3FfDE4fdc7jb/QycFnn0CrbO0qMsDCYPTbvJkSFvNueT1CUV8eiRdT5kUYpSVmV9tUiOta1nJp0rA6iE+LSUXJKqIKCAmbMmEHr1q3x9/enb9++WCwWV9u0tDTGjBlD69at8fPzo2vXrnz44YfVPtaoUaOYN28et9xyS7nbtdYsWrSIZ555hptvvplu3brx3nvvcfLkST799FO3tuPHj2flypVuRc6WLVtWJuEQHx/P/v37OXXqlGvdd999xxNPPOF2bgkJCRw7doz4eEl4ClEflFLXA58AqUB8Ue2NmiqeJLjyYm9CCCGEEEI0YXKnt4hSKh74CsgHVgJZwG3Av5VSUVrrl6vZz5U4i+cFA2txPkUVAHQGbgTerPPgm7i8LCuZKc4bLuHRgRiNVefRtE27lg1mGWEhmh5TuB/K24gusFNwLBOttdsTji2izycsDuxLo+eItuV1A0BASCje/v4U5OSQmni0PsMWokZOv/4rjixrjffTgNbO2i65ykDVlVzcGQLNtHyoR42P++CDD7J3715WrlxJZGQka9asYeTIkezatYuOHTuSn59Pr169mDlzJkFBQaxdu5Z77rmH9u3b06dPnxofr7SEhAROnTrFNddc41rXrFkz+vbty5YtW7jrrrtc63v16kVMTAwff/wxY8eOJTExkY0bN/LGG28wd+5cV7uBAwfi5eXFhg0bGDNmDHv37iUvL4/Jkyczc+ZMEhISiI2NZcOGDfj4+NC/f/8LPg8hhLuiZMXHOOvxxWutD9Wyq75FX4/WRVxCCCGEEEJ4okZPWCilxhUtrtFaZ5V4Xy1a6wsuPKeUMgFvAw7gKq31jqL1c3AWuFuglFqtta700WWlVBDwWdHbXlrrneUcR5RSPLoCIDw2qJKW52kZYSGaOGVQmKMDKTiYgSOrEPvZAkwh56d7CQr3xYbGhOLooYzK+1KKsKgYTuzbQ3Z6GnnZWfgGVF0LRoj65siyYs+secKiJF11kzqRmJjI8uXLSUxMJDLSOTXhjBkz+PLLL1m+fDkLFiygdevWzJgxw7XPQw89xFdffcWqVavqJGFRPAqiZcuWbutbtmzpNkKi2KRJk1i2bBljx45lxYoVXHfddbRo0cKtjb+/P3369MFisTBmzBgsFguDBg3C29ubAQMGYLFYiI2NxWKx0L9/f7y9vS/4PIQQ5ymlRuFMVpzFmaw4WEX7HsAOrbUutf5WYHxRP1/UU7hCCCGEEEI0Ok+407sC5/2IrThHNRS/r64LTlgAw4D2wPLiZAWA1vqcUmpBUUzjgTlV9PMAznobk0snK4r6s5XdRXzzfZJrOSiymiPc7SVHWHjCZSxEzXm3DaKgqE6FNTHTLWHh5WUkx9dAszxNQKEmI7OA5kEV30gMi3YmLABSE48S1aVrvcYuRHUYAisuFl+ZkiMsVC1HWNTUrl27sNvtdOrUyW19QUEBoaHOqQrtdjsLFixg1apVnDhxAqvVSkFBAX5+fjU+Xl0YO3YsTzzxBEeOHGHFihW89tpr5bYbOnQoH330EeCsUzF06FAAhgwZgsViYeLEiVgsFv785z83VOhCNGlKqXuBQUVvi//DvVcpNbRo+Xut9TtKqcuANYA3YAHGlBxNWeSo1npFifevAu2LimwfB4xAz6LjFQATtNbn6vJ8hBBCCCGE8CSecKf3PZz3Js6Vet+QhhZ9/bqcbV8VfR1SjX7uxBn7x0qpOGA44AvsA77UWtf4MVOlVJsqmkQULxQUFLjNZd1UnDpyjuCiZRViqNY5OArtzo9vgB1Hkzvv/Pz8cpeF56qP75mOOJ+AyDmUjopzHxVhCPaCPCsKxY8/H+eq/hUXpG/eqrVrOfnwQcJiO9RJjE2d/Kw1HIfDQfEDwQ6HM9nQ4v+617qv7OxsAAICAjAYal5yqziG6tBak5mZidFoZNu2bRiN7lMNBgQE4HA4ePHFF1m8eDGvvPIKXbt2xd/fn0ceeYSCgoIaHa9kjCX3Cw8PByA5OdltlMXp06fp3r27W1uHw0FwcDDXX389kydPJj8/nxEjRpCVlVWm7yFDhjB//nySkpKwWCw8+uijOBwOBg8ezFtvvcXBgwdJSkpi6NChtTqP4uOVtyw8h9Yah8P9b6aCgoJGjKhJG4TzYaaSBha9ir2D8+/04v/s76J83+F8OKrYBzinpe0HhOGsOXiiqL+Xtdb7LiRwIYQQQgghPF2jJyy01hMqe99AOhZ9LTNEW2t9SimVXaJNuZRSZpxPWKUADwGzcS9qfkQpNVprvauGsSVV3cTpxx9/5PDhwzXsvnHZHeCXHQAocgyaQ7//yJH9Ve9XkJMPRbNHHTp6mFNf76nXOOvTxo0bGzsEUUN19T0z2OBKglEozu5N5gcv94vfavACnKMutm4+QH7W7gr7yks57Vr+bcsPJDuktktp8rNWv0JDQ/H19UUpRWZm2ULytVWcuKgvNpsNq9VKx44dsdvtJCQkMGDAgDLtMjMz+e677xg1ahQ33XQT4Lwxv3//fuLi4mp1znl5eW77hYaG0rJlS9atW0e7du1cx/3xxx8ZN26cW9vife+8807uuOMOHn74YXJyclwJi9zcXFf7K664ArPZzKJFi8jPz6djx45kZmYSFxdHSkoKS5cuxd/fn8suu6xOvnf1/T0TNWez2cjLyyMvL499+87f705NTa1kL8+mlLIDK7TWk6to9zYwUWtdZ597ij6vTKhGOwvUbJCY1vodnMkJIYQQQgghLkmNnrBQSi3DOWx6WdH7aCBba53egGE0K/pa0fDqzBJtKhKC85n/UOBZ4HHgfcALmAI8A/xHKXWZ1loe8y2Skm7AWzs/x2X72KnuQ7QGff6zn6PmD94K4REcJsjzs+OXa8I314jBDiXzDM1C7M7JIABbVuUXunfzYNdyQUZD/voU4uLQoUMH/vjHP3L//fczb948unXrRmpqKt999x2XX345I0aMoH379nz22Wf8+OOPNG/enCVLlnDmzBni4uKqdYzs7GwSEhJc748dO8auXbto3rw5UVFRKKWYOnUqL730Eu3ataNt27YsWLCAiIgIrr/++nL7vOaaazh06BCBgRXXrfH19eUPf/gDb7/9Nn369HGNIDGbza71ffv2xcvLqwb/YkI0OkX1kwE1nVlOCCGEEEII0UgaPWHB+aeTlhV9TcA5LLrSp6U8UPHdRCPwd631yyW2PVs0RdQdwO04h3pXV1QV2yOAbQB9+/alffv2Nei68a1cfQAbaQCExQYzfPjgau33v693uJYv63IZV/YJr4/w6k1+fr7rae+rrroKHx+fKvYQja2+vmfZ1mMUbE9BoRgS1w+vducLz2flWPn3zp8xoPAt8GL48Ksq7ev9DevISk3BkZPJtddcg6rFNDoXG/lZaziJiYnY7XZMJhNBQUFV71CJupgSqrpMJhNms5mgoCDef/995s+fz7PPPsuJEycICwujb9++3HbbbQQFBTF79myOHz/O7bffjp+fH3/+858ZPXo0586dq9Y5//LLL1x99dWu908//TQA48aNY/ny5QD89a9/xW638+ijj5KRkcGgQYP48ssvXdNFFfP19XUds1mz889UFE/H5Ofn5xbTNddcww8//MA111zjtn7YsGFs2rSpzPqaasjvmai5lJQUfH19CQgIoFevXq71TW1kbi35AYWNHYQQQgghhBCiejwhYWHHOQqhWE2elqorxSMrKhpFEQScrWYfAJ+Xs/1znAmLP1CDhIXW+nhl20sW7vP29sbX17e6XXuElMQcistsx13RotrxqxIjLMx+Te+8S/Lx8WnS8V+K6vJ75mgfTMH2FOebUwX4Xn6+X19fX7LNiiArBBRoUF74+lT8a7tF21iyUlMozM+nMCeLZuERFba9FMnPWv0yGAyum+V1ebPaYDDU681vi8XiWvb29mbOnDnMmTOn3LZhYWF89tlntT7WsGHDXHU+KjN37lzmzp1b4fbK+ggJCSl3++zZs5k9e3aZ9bNmzWLWrFlVxlQT9f09E7WjlMJgMLj9HvT29q5kj6ZPKdUcZ72J5EYORYhLQswTaxs7BFGFo38rf8SmEEII4Uk84dPkGeBKVfLOe8Mrrl1Rpk6FUioCCKCc+hYlaa1zcBbEA8gop0nxOrlbVoItxTk7lgNNn57Vv7mqStTzVF6ecBkLUTvebc8/0VxwOKNsg+ZmAIwoftuTUmlfLaJjXMspx47WQXRCCCGE51BKHSl+Fa26veS6Uq9EnJ8z2gBfNF7UQgghhBBCiJrwhBEW3wJ34yxKXTyx80il1LfV2Fdrra+uulmVvgOeBIYDK0ttG1GiTVW+Be4BugC/lNrWpejr0dqFePHJyrYSmK8BRbZZEdyselO1aK3dExYmSViIpssY4oMxxAd7ej4FxzJx5NswlBhFEdzaH/sZKwD796XRr1erCvsKK5GwSE08Sofe/eotbiGEu8TERLp06VLh9r179xIdHd2AEQlxUYopsaxxPlQUUEl7K/Ap8FT9hSSEEEIIIYSoS56QsJgJdAJ6A22L1kUUvapS9bwK1bMeOAL8SSn1mtZ6B4BSqhnODzhW4L3ixkqpVjinj0rWWpecCmopzoTFE0qp/2qtM4raRwAPAw7g4zqKucn76ZdTGIpm/zK0qP6UBA67DaMqMYuYJCxEE6aUwicumJwtyWDXFBzKwPeKMNf22I7BHPrVOSNd3pn8SvtyG2GRdKxe4hVClC8yMpIdO3ZUul0IccFii74qnH+7rwYeq6CtFUjRWtsaIjAhhBBCCCFE3Wj0hIXW+iTQVynVFmfCwgJ8CbzQgDHYlFL3Al8BG5VSK4Es4LaimGZorY+W2OV5YDwwEWeB8OJ+flBKvQI8CuxUSv0HZ32Om4Fw4Cmt9YH6P6Om4cDeVNdyy9iKyoeUZbMWYlBG13sZYSGaOp/LQpwJCyBvX7pbwqJfzwgOrXLOfBFuq3zmvOYRkRhNJuw2G6nHEiptK4SoWyaTiQ4dOjR2GEJc1LTWrmy8UupdYFPJdUIIIYQQQoimr9ETFsWKPmwcKyplcUprXZ0pmOry+BuUUoOA2cCdOBMNu4CZWut/16Cf6UqpXcD/ARNwjgL5FZiqtV5T54E3YSEFUJyy6N69RbX3sxdaMarzl67UsBBNnU+7ZigvA7rQQf7+dLRDowzO5ESz5j4EhviQlZ5PyvFst22lGU0mQtpEk3L0CGdPncRmtWIymxvyVISoVlFpIUTDKv65bNyScXVLaz2xsWMQQgghhBBC1L1Gv9OrlPpWKfV4iVUTgXcaIxat9U9a61Fa62Zaaz+tdd/ykhVa6wlaa6W1XlFBPyu01r211v5a6wCt9WBJVpSVl5wHgJe3ke6Xh1d7P1thoXvCQkZYiCZOeRnxbt8cAEdWIYXJOW7bw6Kc03PbCuxknMmttK8WUc6Z9bTDQdqJpLoPVogKeHk5p+qz2+1kZGQ0bjBCCJeMjAzsdjvgHAkkhBBCCCGEEJ7MEz61DMW9EPUynNMs/dAIsYgGkn22gJyMAgDCY4IwVPDEeHlkhIW4GPlcFkz+vnQA8velY259voZoi+hAEn5zjkdKTcomOMK/wn5KF95uGdu+fgIWohR/f3/y8pyJ6OTkZM6cOXNBT3PbbM5p51NSUuokPlH/5HvmebTWrmQFOH9OLyZKqUDgAeAaoDXgU0FTrbWW/xCFEEIIIYRoAjwhYVGI+4cLVfQSF7HTR8/XKm8ZG1Sjfe0ywkJchHziQoDDgDNhEXR1tGubV+j5ovRfb06kY++WFfbjVng78WhdhylEhcLCwrDb7Zw96ywSX/ImaU1prV3JD19f34tqGpuLlXzPPF9wcDBhYWFVN2wilFKRwPc4681VdcHJXHVCCCGEEEI0EZ6QsEjGWXTbX2udU2VrcVHY+dsZ13LLmJolLGyFpYpuywgLcREwBftgaumH7XQu1uNZ2LOtGAOc9SeaRZ5/IjbjZOW/JkuPsBCioSilaNmyJUajkZycHGw2W63rWTgcDtfN74CAAAwG+T3v6eR75pmUUphMJvz9/QkLC7vYEkkLgBhgB/A34HcgsxHjEUIIIYQQQtQBT0hYrAXuB84opU4XrbtdKTW0GvvK8O4mau/uVJoXLfu18qvRvrbSU0LJCAtxkfC5LITs07mgIf/AWfx7OkdStG0TSJ5B4+tQeGfbcTgcFd4M9A8OwScgkPzsLElYiAanlKJFixa0aNHigvrJy8tj3759APTq1QtfX9+6CE/UI/meiUYwAjgNxGutz1XVWAghhBBCCNE0eMKd3qeA1YAXzqekNBBQtFydl2hirFYb/tnOqUKyjRDRsmbzKcuUUOJi5RsX4lourmcBYDAYKAhwXvO+DkVCUsUPkCqlCIt2Ft7OyThLbqbcwxFCCHFRCga2SLJCCCGEEEKIi0uj3+nVWp/TWt8B+OFMQCicCYzYarzaNULI4gL9sjsFr6Kphu0hXjXev3TCAtNFNb2BuISZ2waifJzTneUfyEDbz0+n49fy/NPKu3alVtpPi+hY13Jq4rE6jlIIIYTwCEl4wGcZIYQQQgghRN3ymD/ytdY2rXVi0dtsrfWx6rwaNWhRK3t3pbiWQ6ICarx/ySmhtEFfbPMxi0uYMhrw6RQMgM63YU08P5IiskStl8QjGZX2UzzCAiA1MaFugxRCCCE8w2pgsFKqZkN1hRBCCCGEEB7NYxIWxbTWBq31pMaOQ9SfM0ezXMuXXR5W4/3tJYpua0PtCroK4al8KpgW6vLLz9cEyD6VW2kfYVExruUUGWEhhBDi4jQX5yiLVUqp8MYORgghhBBCCFE3PKHodoWUUs2A3kAL4JjW+odGDknUAZ1WAIAdzR+ubFnj/W2FVsyGokvX41JuQlwYn7hg58R4GvL3p9NslHN6p84dgvmf0pi1wnTOVmkfbiMsko7WY7RCCCFEw1BKLStn9RFgNHBIKfUzkAg4ymmntdaT6zE8IYQQQgghRB3xyISFUioQeBW4h/Mxvgv8ULT9XmAOcIvW+sdGCVLUSkp63v9n767j4zjOP45/5kDMkm2ZmZntOHHYYeY02CYpN2mTppw27a+YctM0SSFpsGFmtB0z2zEzWzJIFutofn/s6STZQlvSnazvO6993ezu7Oxzuj052mdnhjSfUy5JdJGSHNfsNoL+QPUcFm4NByUnFndKHN4eqfh3FuPfV0agsAJPRgJuj4uyJBdxpZbkIOzLLyW3c92jYMQlJJLeJZfDefs4sHM7NhTCuJTdExGRdu2WBvalAKc1sN8CSliIiIiIiLQDMZewMMYkAp8CY4F8YDFw/hHV3gQewXmiSgmLdmTRkr2RsrdTwjG1EfT7cJvw3BfulohKJLYkDs7Ev9MZOq1iXQEpU7oCEJeTAKXlACxflc+5Z/att42cnn04nLePQGUlhfn7yMzt1vqBi4iItJ5box2AiIiIiIi0vphLWADfwUlWPAvcYa0tNcbU6tptrd1njFkLnB6NAOXYbV53KDKKU9d+6cfURsDnw1XVw8KjHhZy4kkYkkXRhzsAZ1ioqoTFwMFZ7N6+G4CU8obnb+nUuw+bF88H4MCObUpYiIhIu2at/W+0YxARERERkdYXi2OEXAPsA75krS1toN4GoEfbhCQtxRzyRcpjjmH+CnAm3XaHJ9027li8hEWOj7dbCq4ULwCVmwqxfidnO21iddKhaGdJg23Umnh7+7YWj1FERERERERERKSlxeLd3v7AQmttRSP1yoCcNohHWoi1lsTiIADeRA/DBmUeUztBX40Jh9XDQk5AxmVIGJwFgPWHqNxSCEB29xQS05x5X3asPoSvov7Jtzv37Rcpb1+1vNViFRERERERERERaSmxOCRUEPA2oV4PoKEeGBJjig5UUFHiB5zhoFzHOAlwqLL6Jq3xahILOTElDMmibEkeAOXrDpEwOAuXy9B/bCc+n7mbYCDEtlUHGDQxt87jM7p0JbtHLw7u2sGe9WsoOpBPWk7ntnwLIiIircYY858mVvUBB3DmxXvbWutrpL6IiIiIiERRLCYsNgOjjTEea22djw8bY1KAUcCaNo1MjkvetsORcpe+acfcjvXXTFjEYichkeOXMDADXAZClor1BVhrMcYwYHxnPp/pzGPx/rtb601YGGMYctJ05jz/FADr585m4sVXtFX4IiIire2W8GvVpE5Hdrs9crsF8jAmtoMAAQAASURBVIwxN1trP2jl2ERERERE5BjF4t3e14GuwI8bqPNjIB14pU0ikhaxb0tRpHw8CYtQZTBSdqmHhZygXAke4vs435PgoQoC+8sByO2fTnn4sg/uLuNgYXm9bQw+6ZRIed3cWa0XrIiISNu7FXgQJyGxB/gL8G3gLuDPwK7wvr8D9wEzgVzgVWPMkLYPV0REREREmiIWExZ/AnYDPzHGvGqMuT68vYsx5nJjzP+A7wLbgIejFKMcgzkLdkfKnXqlHnM7NhCKlJWwkBNZwpCsSLli3SEA3G4XtnsiAB4M772/rd7jM7t2p0u/AQDkb93MoT27660rIiLSziwEvoiTnOhnrf22tfYv1tq/Wmu/AwzA+bviVuBla+0ZwM+BROA7UYpZREREREQaEXMJC2ttIXAusBW4GHgSpwv3ucALwNXADuAia63msGgnysr9JJU5iYZiLySlxh1zWyFfdQ8LE6eEhZy4aiUs1h+KlMed3D1S3rpsf4NtDD5peqS8fp56WYiIyAnjfmAvcLe11n/kzvC2e8J17g9v/mV4/Yy2ClJERERERJon5hIWANbaNcAI4GvAW8BaYD3wIc4TUcPDdaSdWLw8D0/VEMLZx56sALCBGkNCxcfiNCwiLcPTKRF3VgIAlVuLCFU487ecelIPylzO0NwpBX4OFDQwLNTUGsNCzZmFtbbeuiIiIu3IqcAi28A/bOF9i4Dp4XU/sAro1iYRioiIiIhIs8VkwgLAWlthrX3YWnuxtXaEtXaYtfYca+2frbVl0Y5Pmmfd6gORcqfexz4cFADB6r9L3XFKWMiJyxhDwuBMZyVkqdhYCIDH44KeSU4Zw7vvba23jbScTnQfMgyAQ7t3cmDHttYMWUREpK2kAZlNqJcB1PyfzwKqJ+QWEREREZEYE7MJCzmxHNxRHCkPG9npuNqy/uq/MV1KWMgJrr5hoSbUGBZq+4qmDwulybdFROQEsRk4zRgzoL4KxpiBwOnhulW6AgdbOTYRERERETlGMZ2wMMZMMcb8wBjzYHj5gTFmSrTjkuZzHXKGFg5gGTeq8/E1FlTCQjqOhH7pGK/zq7pi/SFsyLn+p0/tQZm7alioAPsPNTAs1JSTMcZpY/1cDQslIiInhMeAeOBTY8yXjDFJVTuMMYnGmC8CHwNxwOPh7V5gNLDyeE5sjLnBGPOIMWaxMabSGGONMbc0UD/NGPNHY8z2cP1txpgHjDEp9dR3GWO+aYxZZYwpN8bsN8Y8a4zpdzxxi4iIiIi0BzGZsDDG9DLGzAbmAP+HM5fF18LlOcaYWcaYXtGMUZpu974SUpyh9ylJchF/nEkGG6i+2Vp1I1fkRGW8buL7ZwAQKvbj31MCgNvjwvRMBpxhod5rYFiopPQMeo0cDcDh/Dz2bdrQukGLiIi0vj/jzHXXDXgUKDbG5Blj9gElwD+B7sA74boAw4DlwNPHee7/A+4AeuNM4l0vY0wyMBP4NrAO+BPO3Hz3AB8bYxLqOOwR4K+ACb++C1wOLAr3GhEREREROWHF3N1eY0wG8AkwDagEXgf+GF5eC287GfjIGJMepTClGRYv2RcpJ+QmHnd7Jlij7Im5S1ikxSUMqR6iu2J9QaQ84ZTqOUMbHxaqxuTbGhZKRETaOWttELgYuAvYinNzvxPQOVzeDnwHuDhcF2vtCmvt6dbaZ4/z9LcBfay1nYCHG6l7LzAG+G14Pr7vW2vPAX4LTMRJZEQYY04Ptz8LGGet/Z619kbgUiALePA4YxcRERERiWmxeLf3bqAv8DYwwFp7mbX2nvByOdAP52mqfuG6EuO2bai+wdpzQFPmRmxEjdFslLCQjqDWPBbrquexOGVyD3xxBoDM4hAVpf562xg48SRcbqd30/p5swmFgvXWFRERaQ+s46/W2gFAT2BqeOllre1nrf2ztTbUCuf90Fq7vbF6xhiDk3woAX5xxO5fhLffdsT228OvP7HW+mqc8x3gU2CGepqLiIiIyIksFicAuAzYD1xtrS07cqe1dp8x5hqcJ6kuB+5r4/ikmUr2lpIRLo8d1+W426vVw0JDQkkH4MlIwNMliUBeGb5dxQRLfLhT4nB7XEw8uQcrPt6JDVq2rjjA0JO61tlGQkoKfceOZ/PiBZQWHGL32tX0HD6qjd+JiIhI67DW7gZ2RzuOIwzEGbLqPWttac0d1tpSY8wc4BxjTE9r7c7wrtOAUpyhcY/0Xnj/qcCTTQ3CGNOjkSq5VYXy8nLKy+ufF0tE2jd9v6UmXQ9SRdeC1NSc66G1rp1YTFj0Bd6qK1lRxVpbZoyZCVzQdmHJsbAhS47PEABsgov+vdKOv9GQqS6rh4V0EAlDsijJKwMLFRsKSA4n/wZM6MyKj517HJuW5NebsAAYfNJ0Ni9eADjDQilhISIi0qqq5pvYWM/+jcA54Xo7w/NddAU+rxrGqo76Ndttqp2NV3HMmjWLnJycZjYvUiUWby9ITe+//34bnUnXQnug60GqtN21ALoeYl9zrocDBw60SgyxeJUEAW8T6nmAFu/iLS2rIK+MQIXz91a/wVm4XMefYDA1EhYaEko6isTBWZTM3AU4w0JVJSy69EkjJTOekoJKdq09REWpn4Tkun+F9h8/CU9cPAFfJRsWzOWMW7+C2xOL/wyIiIjUZoy5KVx8xVpbXGO9Say1T7RCWI2pmm/vcD37i46o19z6IiIiIiInnFi8U7UROM0Yk2GtLayrgjEmCzgd2NCWgUnz5W0tipS79D3+3hU2FMJVY+oVDQklHUVc7zRMggdbEaBiQyE2aDFug3EZ+o/rzIqPdhIKWV5/azNXXz2k7jYSEuk3fhIb5s2moriIHZ+voO+Y8W38TkRERI7J4zgzmc0HimusN1U0Ehaxomcj+3OBRQDTp0+nR4/GRpASqce8j6MdgTRixowZbXMiXQvtgq4HqdJm1wLoemgHmnM97Nq1q1ViiMWExQvAr4C3jDF3WGtX19xpjBkJPAKkAc9FIT5phryt1Q+I5fY9/ofBAgE/blN92aqHhXQUxm1IGJRB+coD2IoAvu1FxPdzvlOmZ1Kk3sYleVBPwgJgyLTpbJg3G4B1c2YqYSEiIu3FEzgJisNHrMeyqljr+5/gtCPqNbd+k1hrG/xL0pkb3JGYmEhiYmJzmheRdkTfb6lJ14NU0bUgNTXnemitaycWExZ/Aa4BpgIrjDHLcCbYBugHjAFcwHLgr1GIT5ph9ar9TsFAp96px91e0HdEwkI9LKQDSRicRflKZ3zA8nUHIwmLqZO6MufJ9SQHIfVwgH35peR2Tq6zjb6jxxOXmISvvIxNi+YR8PnwxMW12XsQERE5FtbaWxpaj1GNzTlRa46L8ETce4G+xhh3HfNYNDYnhoiIiIhIuxdzd3utteXAGcDz4U3jgSvDy7jwtueAs6y1FW0foTRVUbGPUKHPKcdBXMLx58cCfh8u446sq4eFdCQJgzPB5TwFWbY0HxtwpvFxuVy4ezu9LNwY3nt/a71teOLiGDhpKgC+8nK2Ll/cylGLiIh0WBuBPcC08ITaEeH1acBWa23NSbFnAlX7jnRO+HVWK8QqIiIiIhITYvJur7W2wFp7LdAXuBH4fni5Eehrrb3OWnsomjFK4xYt24cL5+aqKye+RdoM+jUklHRc7pQ4EodlARAq8VO+5mBk36Tp1cNT71p58Khjaxpy0vRIed3c2S0cpYiISNszxsQZY7qG57qLCdZaC/wLSAF+csTun4S3//OI7Y+GX39hjIl0gTTGnAecBrxvrd3eKgGLiIiIiMSAWBwSKiL8tNHT0Y5Djs2GNQci5ZaYvwKcHhYaEko6suQpXSn/3ElIlM7fS9KoTgBMm9SVuU+uJyUIaUUB9uaV0rVL3cNC9RwxmsTUNMqLi9iyZCG+inLiEjRmpYiItD/GmBuAbwFjcR7G+i/wxfC+y4CrgB9Za+vvftj8c94GnBxeHRl+vc0Yc1q4/Jm19l/h8u+AS4DvGWPGAktxeo3PwJno+s8127bWfmKM+RdwG7DUGPMW0BVnyNxDwDdb6n2IiIiIiMSimLjba4xJMMakGWMafQzfGBPf1LoSXQU7SyLlESM7tUib6mEhHV18/ww8OU5yoXLLYfz5ZYAzLJS3j5OgcGF47/0t9bbh9ngYNMUZaSLgq2Tz4gWtHLWIiEjLC9/Y/y8wASgHzBFVNgDXAle08KlPBm4OL1VD1k6rsa0qmYG1thQ4FScxMRS4GxgC/AE4Mzwc7pG+DNwZLt8JnA+8Akyy1m5o4fciIiIiIhJTon631xjjBdYCecCIJhwyPFx3lTE1JjOQmOMp9APgM5ZRw1snYYHnyL9LRU5sxhiSJ+dG1ksX7I2UJ5/aI1LevarhYaEG1xoWSkNhi4hI+2KM+QJOT4rPgYnAUd15rbWrgV3AeS15bmvtLdZa08ByyxH1D1trv22t7WWtjbPW9rbW3mOtLa6n/ZC19q/W2hHW2gRrbY619lpr7eaWfB8iIiIiIrEo6gkLnG7avYE/WGuXNFbZWrsU+D3QH7i8lWOTY7Rl+2GSg+HJgVPceFuoJ0TNIaFCJoQxSlhIx5M8vguEv1OlS/IJ+YIATJ3QlZJwPi+tKMjufSX1NUGPIcNJyXSG+d62fCnlJXXeMxEREYlVdwAlwIXW2iXh+SLqsgpnXjwREREREWkHYiFhcRkQAP7UjGP+CISAK1slIjluS5fti5STuia1WLtBvx9XuGONjYWrVyQKXElekkblAGArApSv2O9sd7nw9klxyhjef7/+4bqNy8Xgk04BIBQMsGnhvFaOWkREpEWNBhaE57xryCGgSxvEIyIiIiIiLSAWbvmOA5Zaaxsev6QGa20BsBgY32pRyXHZsbEwUu4zKLPF2g34/bhd4UfIXfU9SCdy4kue0jVSLqkxLNRJp1UPC5VxwN9gGxoWSkRE2rF44HAT6nUCgq0ci4iIiIiItJBYSFjkAtuO4bjtQNdGa0lUlOdVzx84YVxuAzWbJ1hjSCj1sJCOLK5nKt6uziTb/l0l+HY5QzpNHt+VtJwEAPZuLKSsyFdvG7n9B5Hexfl+7vx8JaWFBa0ctYiISIvZjTOJdb2MM3boMKD+LociIiIiIhJTYuGWr+HY4nCFj5UYEwqGyCh3ej+UeaFnt9QWa7vWpNuacl06MGNM7V4W8/dGtg8Y74x8YS1sWb6/wTaGhHtZWBtiw/zPWjFiERGRFvURMMQYc0kDdW4EegAftE1IIiIiIiJyvGIhYbEfZwLt5uoHHGjhWKQFHNxTCkEnYTFqVOcWbTvg9+GKJCyUr5KOLWlMZ0y8k7krX7GfUHkAgAHjq793m5bkNdhG7WGhZrdClCIiIq3i90Al8Iwx5i5jTLeqHcaYLGPMV4CHgFLgr1GKUUREREREmikWEhbLgNHGmF5NPcAY0wcYCyxtraDk2OVtLYqUu/RNa9G2gz4/7vCk20YJC+ngXPFuksY5yQnrD1G61ElO5PRMIbWTMyzUrvWF7NxTXG8bOT17k93D+fW7Z/0aig7kt3LUIiIix89auxG4GefvmT8AOwEb3rYf+DvgAW6x1u6IVpwiIiIiItI8sZCweA0njuY8+fSXGsdKjMnbWj3/YW6/9BZtO1BZYxJhjxIWIimTq4eFKl2wF2stxhgOZTo9kQzw/ntb6j2+5rBQAGtnf9pKkYqIiLQsa+0LwETgBaAY5589A1QAbwBTrbUvRS9CERERERFprlhIWDyJM+n2RcaYF40x9Y4hZIzpZIx5EbgIZ9LtJ9smRGmOXZsKAXC5DTk9U1q0bVsZqF7xxMLlKxJd3txk4vo4PZkC+eX4wgnDk06r7rSWv+wgoVCo3jaGTDsVjJMAXPbemwR89U/ULSIiEkustZ9ba68FMoHOQC6Qaq291Fq7LLrRiYiIiIhIc0X9jq+1NgBcCZQDlwHbjTGvGmN+ZIy5Pbz8yBjzKrAjXKcCuCp8rMSQ/YfKKdlfAUBlihuPt2Vnxg75qj9ylxIWIgCk1DH59qRxuRQmOUmINB+8+d7Weo/PyO3KwIlTASgtOMTqmR+2YrQiIiItzzoOWGvzrbX1Z+lFRERERCSmeaIdAIC1dqkxZjpOd+6+wMU4vShqqhr/ZxtwtbV2SdtFKE21aMneSNmf4W3x9oO+YKRsvEpYiAAkjsjBlbyFUKmf8tUHCRb7cKfGMeS07ux7excAqz7aycXn9a+3jcmXXc3GhXMBWPjaS4w84xxc7pZNOIqIiMiJpc/334p2CNIE235zQbRDEBEREWmymEhYQCRpMRi4HrgEmAB0Cu/eDyzBmbPiafWsiF2b1x2KdNvp1sLzVwBYvxIWIkcyHhfJE7pQPHMXBC2li/eRdnovLj1/AA98sItUP2SUhJizcDfTJnWvs40u/QbQZ/Q4tq1YStH+PNbNncWwU05v43ciIiJSN2PMfcdzvLX25y0Vi4iIiIiItJ6YSVhAZHioJ8KLtENFu0vJCJdHj+7S4u2H/NW5KhMXU5evSFQlT8qleNYusFC6YB+pp/bE7XHRZWInyubuB2Dm61vqTVgATL70aratWArAwldfYOi0UzEuJQZFRCQm/Aywx3G8EhYiIiIiIu2A7vhKiwmFQsQXBQBDhbEMG5TZ4uewNYaEcrXw/Bgi7ZknO5H4gZlUbiggWFhJxYYCEodkcdWVQ3h4fj6JIUPqAR9rNx5i6MCsOtvoMWwE3YcMY/e6NRzctYNNi+czcNJJbfxORERE6jSL+hMWpwJ5wLq2C0dERERERFqDHp2VFrN+cyGJIWeqkYo0D65WeDLbBqr/TnXFK2EhUlPNybdLw5NvpyR5SRjmDM/mwvDmC+sbbGPypVdHygteeQFrj+dhVhERkZZhrT3NWnt6XUu4yjv17a9RR0REREREYpwSFtJili/Pi5RTuye3yjlsIBQpu7zqICRSU8KQLNzp8QBUrD9E4FAFAFddMxR/+KHUhF3llBVX1ttGnzHj6dzHmZw7b8tGtq9c1spRi4iIiIiIiIiIOJSwkBaza3NhpNxvSN1Dzhwv669OWLjjva1yDpH2yrgMyZNynRULpYv2AdClUzKZI53vpCsEq2ftqb8NY5h82VWR9QWvPt96AYuIiIiIiIiIiNSghIW0GH9eRaQ8aVxu65wkWHNIKCUsRI6UPDEXXM7QbKWL9kV6JV12zRCMs5lVn+4iUGM+mCMNmDSVzG49ANi15nN2r1vTukGLiIiIiIiIiIighIW0EF9lkJRy58ZosRc65yS1zolqzGHhjteQUCJHcqfFkTg8G4BQiZ/y1QcBSMtJpP/4zgCUF/tZN39fvW24XG4mXXJlZF29LEREREREREREpC0oYSEt4tCeEtw4j2/3HZzZeieqHhEKl1eTbovUJXly9eTbJeHJtwHGnt0rUp771lb8NeaEOdLQk08jNacTAFuXLSZ/25ZWiFRERERERERERKRazCUsjDG9jDGNToBgjMk0xvRqrJ60jbwtRZHysBGdWu9ENUex8cTc5SsSE+L7p+PJSQTAt/Uw/vwyADr3TiOxRzIA/sM+XntrU71tuD0eJl58RWR9wasvtGLEIiIiIiIiIiIiEItj6mwFHge+1Ei93wG3EpvvocPJ21adsMjtl95q5zFBIp+48SphIVIXYwzJk7ty+C2nV0TxzF1kXTUIgE4TctixqxSADTN3Yy8eiKma3OIII04/m/kv/Y+yw4VsmP8Zh/bcQFa37m3zJkRERGowxtzUSJUBDdWx1j7RwiGJiIiIiEgriMU7via8NLVuy53YmInGmLeNMYXGmFJjzHxjzNXH0V6mMWa3McYaY95tyVhjTd7WwwC4vS6yuie33omqp7DAqIeFSL2Sx3fGxDvDppUtzcO3sxiAC2b0pSjeqZNeZvn0s531tuGNi2f8BZc6K9ay8DX1shARkah5HHisnsUC0xrY/5+2D1dERERERI5Fe77jmwr4WqoxY8zpwBzgZOB54GEgF3jOGHP3MTb7INB63Q1ixO59JRQdqAAgsUsibnfrXVYmVJ2jUg8Lkfq5kryknd3bWbFQ8PpmbMjicrnoOaVLpN68t7c12M7os88nPtlJQq6d/QlFB/JbK2QREZGG7DiOpf7svIiIiIiIxJR2d8fXGOMyxowEzsD5A6Ql2vQA/8SZ0nm6tfYOa+3dwGhgA/ArY0zvZrZ5BXA98L2WiDGWLV6yL1I+EGcbqHn8aiUsavaw2L0EftsHfj8IPrgPDm5u1ThE2oOUqV3xdE4CwL+zmLKleQBccdlgSt3OdzW9IMCKNfvrbSM+KYmx514EQCgYZPEbr7Ry1CIiIkez1vax1vY91iXa8YuIiIiISNPERMLCGBOsWsKbbq657Yj9fmA5kA283EIhnAH0B56x1i6v2mitPQz8CogDbm5qY8aYTsA/gCeBt1ooxpi1bUNBpNxzQGarncdai8tWX7LGU2NEsPfvg/ICKMmDOX+Bv42Dxy6Alc+Dv7zVYhKJZcbtIuPifpH1w+9uI1QRIDHBQ+rI6u/quy9taLCdceddjDc+AYBVH71HaWFBg/VFRERERERERESORUwkLKiet8LgjEFrGlgCwDbgD8BPW+j8p4Vf369j33vh11Ob0d7DQBC48zhiajdK9pRGyuPGdWmg5vEJBYO4jDuybrzh8t6VsP2zow/Y/hm8fDv8YQjsWNBqcYnEsoQBmSSOyAYgVOKn6IPtAFx9zVB8xullkbC7gh27i+ttIzE1jVFnnQtAwO9j6duvtXLUIiIiIiIiIiLSEXmiHQCAtdWPzRtjQsDj1tovtmEIA8OvG4/cYa3dZ4wpqVGnQcaYG4DLgUuttQXGmOOaw8IY06ORKrlVhcrKSsrL27Y3QTAYIrEkCBjKXJaunbytFoO/ohy3qb5kKwOV+Mst3rkPRS5k/8n3gicB98qncR1yhoWyQR8Vaf2gjX82DamoqKizLLGrPX9m8Wd2o3xdAQRClMzdg3tUJkmdEwn2SYKt5XgwvPjsar769dH1tjHirPNY9t6bhAIBlr33FiNnXBiZ2yKWtefPrSPT59b+6DNrnyorK6MdgoiIiIiISC0xkbA4wv3AsjY+Z1VS4XA9+4towuTZxphuwF+BZ621LfUIcpMnCVywYAGbN7ft3A1797uIt85Ny+KEIB9++GGrnStYUUHPGgmLT2bPJOix9ChKY0BCT5L8B3mvaABBdwL0uo+s7A30OfApfnciq2bOrdXWiF1PkVyZR1lcJ8riciiPy6EsvPg8qWDMkadvMcYGcYd8xIX8uGyAxR+8iMsGMTaAywbwu5Mpi+9c65jcwiUYQljjJoQba9xY4yJkapTxUB6Xjd8T+zeR27tZs2ZFO4Rm65qbQLddSWBh59PL2TismOyuhuKtybgx2M2lvPnm+8TF1d9GSp8BFG1ah7+inFce+RtZI8a13RtoAe3xcxN9bu2RPrP248CBA9EOQUREREREpJaYS1hYa++PdgzH4V84c2x8K9qBtJX9+91khcsmLdhg3eNlQ4FaPSxC4eFsdmVNY1fmSST5DjjJCgBjOJQymEMpg49qxxMsp/fBT/GEfHWeJ2DiKI/Lpiwuh/VdL6MgeUBkX3rZNroWLsZl/bhsEFc46RBZQgHc1o/fncjivt+s1e64bQ/TvWABLhr+Oe3IOoVlvW+vfeyOf+INljV4HMDSXnewM/vkyHpKxR6mr/8ZAXciAVcCAXci/hrlgDuRSk8qlZ50dmdOJuBOavQc0j7t61ZB9v544ivdpBV5yTjkhWw/29ICdC7ykmANlXu8xPXx19tG5rDRFG1eD9ZSuP5zMoaMxOXxtuG7EBERERERERGRE1nMJSyMMW4gGSiz1gZqbE8E7gXG4Mxh8YC1dk8LnbaqZ0V9vSjSgAZnmTXG3AycB1xlrW3Jx9V6NrI/F1gEMHnyZPr379+Cp27c2pVLAOfG/6RpAzjj5MZGsDp2h/P3kbdgYWT9rHPPxhxDTwjXznm418WDr+6Ehcf6SK3cS2rlXjIuvJ9Qr5Mi+9yfP0/cW683eg6blM2MGTNqbfO+8RqugsaTOt1yO9PpiGM96xOhrPGExYjRYxk6rPpYs2cp3rUVeEOND88x+OK7IKV6DhL38ifwLHoEm9QJm9wJkjthEzKwiZmQkI5NyHBekztjM/s22n57V1FREXlqePr06SQkJNSuEApAoBIC5ZhAJQQqsZ4ESOsWhWjr5utbQPFzTi+sgXnZZFw5nAkjKnj1gZUABPelc9aXxuJy1/+9+mD/HjbOm02ospIuBBg744I2if1YNfq5SUzS59b+6DNrn9q6Z66IiIiIiEhjYi5hAdwH/BhnIuzZAMa5K/0pMIHqibkvN8aMsdY2mEhooqq5KwYCS2ruMMbkAinAwiMPOsLY8OsL9dxEP8cYY4EV1toxTQ3MWrurof01zxUfH09iYmJTm24RoQPOTf8QlmmTe5GYGN9q5yp1uSKTbocIkZR0jL0BBp0B398BJXlweCcU7qheIus7IVBOfJeBUPNnmtC04ZZMoPLozyKnP+SOAm8iQVc8+QXFhFweunTtgScuEdxecMfh6T4Oz5HHnv4j8JVA0A+hoHNzPOQPvwbD2wPE5Q6uHW98AuQMhspiZ/GV4Hx9joqYxKwe4K7xK6FkDxza7CwN6TEJbvug9raXboO8NY39mGDanTD6mur1or3w1BWNHwdw3TOQ2ad6ffWrMPN3jR+X2gVufKX2tnd/CFs+bfCweBtisHsI67teRkJCQvXn++ue4CsFW08y6oyfwPR7Go+rDSSMScC39CCVGwsJHfbhX3CQ7mf3ptfwbHasPkhJQSW7VhcxeHJuvW2cdMW1bJz/GVjLkjdeYvSZ55CckdmG7+LY1frcpN3Q59b+6DNrP+LjW+//20RERERERI5FLCYszgT2WWtn19h2ETAR2AA8hNOTYQZwO9CEO5SNmgn8INzm/47Yd06NOg2Zh5PYOFIKcA2wC3gP2HHsYcaWw8WVpFZawFAcb8hIa90/eoN+f2RIKOuy8MmvYOA50GN88xtzuSCtq7P0nHT0fmuh9AAkZdfe3ucUuOk1cMfVXjw1ywngreNGzRk/chbAV17OwvffB2DGjBlHJyiONPFLzX+P4PxsvlEj1xYKgb8UKkvCSYwiKN0P5QW1kxUANgRxqeArbvgciXXcrN6zHA4eNYf90coP1V4P+SF/dePHAQSO6CFTXtC0YyuLjt52eEejx7qAhOwuR+8IBepPVgB88kvnuuk1ufHYWpkxhoyL+pP356UQshTP3Eny+C6MndGLHasPAjDv1c10H5FFSnLdk1nk9OzNqDPOYeVH7+IrL+ez/z3JOV/pMKPgiYiINIsx5hbgsUaqfWytPTNc/2fATxuo29dau61FghMRERERiUGxmLDoC6w7YtslOI+Ff8Fau8QY8xBOAuBKWiZh8RGwBbjeGPNXa+1yAGNMOvBDnDGPnqiqbIzpijN81F5r7WEAa+1zwHNHNmyM6YOTsFhtrb2tBWKNGYd2leDC6eGR0aOuXE3LCvj9uF3hhAVBmPlbZxnzBbj0oZY9mTGQ0uno7aldnKW9crkgPtVZ6Npw3Rm/cBZ/OZTkVyc2ygud14pCp5wz8Ohjgz7wNOHpWteRv4JM046DoydGd7mbdqynjsSaO67RYy0QMnX8yswdBcFKJ1Hlia9+LS+ErTOdxM8rd8DX5tedyGpj3s5JpEzrRsns3RCwFL65he43DqXHkEx2rSugtKCSx/6zkm9+c0K9bUy79kbWz5tNZVkpn3/6AWNmnE+XfgPqrS8iItKBLQfqm6PvSmA4zkNNR/ovzjC4RypsiaBERERERGJVLCYssoF9R2ybBuy21i4BsNYGjDHzgSktccJwe7fh/LEwyxjzP6AYuALoDdxzxJNMvwZuBm4FHm+JGNqjgh0lkfJpJ7Xe3BVVgn5fdQ+LmnMy9Iz+k+snNG8iZPZ2lqa6a+WxnSujJ/z4yK9/E427yVmOxZX/abRKRXk5q8K9Ymr5Ul33GIBgAB4/H/LXOcNCxUCyokramb0oW55PqNhPxRpniKg+Z/dgx7pDuDAEVx9m8/ZC+vfOqPP4pLR0pl55HZ8+8S+wlo8ff5Rr7//tMc0pIyIicryMMVNwhpPtgTN87C7gU2vtvGjGBRB+EGr5kduNMXHAN4AATnLiSI9baz9tzdhERERERGKRK9oB1CGAM+k2AMaYTJy5JeYcUa+Y+ifJbjZr7SfAyeHzXAN8FcgDrrXW/qGlznMiydtWPbROl75prX6+oN+Pq+oJ91B4AurELBh1daufW6TZ3B64/J/wtbkw8spoR1OLK8FD+rnVE6UXvrGZUYOzqejjzAvjxfD8vz9vsI0x51xAZjcnUbln/RrWz53VegGLiIjUwRjT3xgzB+f/338JfA3n/+H/D/jMGDPXGBOrXQAvxXlQ601rbV6UYxERERERiRmx2MNiCzDFGOOy1oaAC3GelPrsiHqdgf0teWJr7UKc+TEaq3cLcEsT29wGnJCPHedtdRIW3gQ3mblNm4z6eAT8PuLCk25jw/MXjL8lpp5cF6mlOb1S2ljS2M6ULtiLb0cxgf3llMzdw823jebJ++aREDKk5fv4dM4OTpvWq87j3R4vp990Gy//5mcAzHz6MfpPmIw3PqEN34WIiHRUxphuwGwgFygD3gW2hnf3Ac7F6Y09yxgz0Vq7OxpxNqBqqNh/1bN/ujFmMhACNgIfWmtL6qnbIGNMY12hc6sK5eXllJeXH8tpJIbpM5UquhakJl0PUkXXgtTUnOuhta6dWExYvI4zb8RrxpgPge8BQeCNqgrGGXdkLLA2KhEKu3cXU1pYCUDn3qm4XK2fkwn4/CRG5hDwg3HDxBNqWhDpCLbPg15Tjp6Do40ZlyHjkgHkP7gMLBR9tIPcMZ3JmNSJivkHAJj7wmZOmdwDt6fuznh9x06g79gJbF22mJKDB1j42ktMu/oLbfk2RESk4/o5zo32l4CvWWtrPchkjMkBHsKZJ+J+qhMEUWeM6Q2ciTN01bv1VDty3otCY8yd1ton6qzdsJ1NrThr1ixycnKa0XQs/jkpR3q/rmFNW4Wuh1ina0Fq0vUgVdruWgBdD7GvOdfDgQMHWiWGWBwS6nfAauAC4E84f4g8YK3dUaPOyUAOR/e6kDYyd9GeSHmXK9gm5wxW+mus+WDYJZDevU3OLXLcKg7DK1+Bx86FZU9GOxoA4rqnkDzReajSVgY5/O5WbvrCcIrC85KnV1iefn5Ng22cdtPtuNxOz6fFr79E0f78Vo1ZREQk7DxgD/CFI5MVANbaA8AN4Trnt3FsjbkV5++wx621R/6P9Argi0A/IBHoC3wTsMDjxpiL2zJQEREREZG2FnNpLWttkTFmEs7TUF2ARdbamUdUywb+AjzX1vGJY+fGQsL3NOneP6NNzhmq8EHkrH6Y/JU2Oa9Ii9i5EFY865Tf+T70ORmy+kU3JiBtRm/KVh7AVgQoW5pP8uSujLu0H5ue2wJA3md5HDy/P9kZdQ+9ltWtO2PPu5glb75CwO9j5tOPcdFd32vLtyAiIh1TFvCatVXjhB7NWuszxnwGXNJ2YTXMGOPCSVhY4D9H7rfWvnLEpm3Ag8aYtcAHOPNzvN7M0/ZsZH8usAhg+vTp9OjR2AhSNcz7uJmhSDTMmDGjbU6k6yHm6VqQmnQ9SJU2uxZA10M70JzrYdeuXa0SQ8wlLACsteVAvY8gW2tfBV5tq3jkaOX7yiOpgwnjchus21JC+7cCowAwcV7oOalNzivSIgaeDeNuhqX/BX8pvPxluPUdZ3LuKHKnxJE+ozeFr28GoPD1zcz4+hiWfLiD9IMBkkKG//5rJd+5Z3K9bUy94lrWzPqY8qLDbJg3m10zLqDHsBFt9RZERKRj2gU0ZRK1JCCW5q84C+gFfGSt3dpY5SrW2o+MMZuBkcaYNGttUTOObfAvSVNjmMrExEQSEzU/3IlGn6lU0bUgNel6kCq6FqSm5lwPrXXtxOKQUBLjfL4AyaVO7/USD/Tsltom5w3u3VS9ktYp6nMAiDTbOb+CzD5OeddCmPPnaEYTkTy5K95c556Pf3cJpYv2cfmtIwhgAfBsKmHfruJ6j49PSubka2+KrH/830cJhdpmqDgREemwXgBOM8bUOz5oeN8ZwIttFlXjGptsuyFVgwQntVAsIiIiIiIxJ+YSFsaY6c1Zoh1vR7R01X68OMmCYKa3zc4b6j41Unald2qz84q0mPgUuOxRMOFfvZ/+GvYsi25MgHEbMi6uHp6q6L1tDOqWihmSBoAbw5LXG34IdMTpZ9G5T38A9m/bwueffNB6AYuIiMAvgFXAx8aYC4/caYy5APgIWMnRE1hHhTEmG2d4qkPAkUM/NXZsMjAcKKU6cSEiIiIicsKJuYQF8CnwSRMXDXwWBatXVc9rmNUrpc3OG/JXP7Ft4touUSLSonpNhpO/45RDAXj5DvCXRzcmIL5fBomjnURgqCzA4Q+289WvjiM5wxn8bdvKA+xYfbDe410uN6ffcntk/bP/PUlFaUnrBi0iIh2GMebjmgvwFhACBgKvGWMOGmOWhJeDOPM8DAzXeTN6kddyIxAHPGWtrTxypzEm1RgzqI7ticA/gVTgeWttoNUjFRERERGJklhMWMyqZ/kM2Fmj3jxgdptHJ+zfXj00zJBhbdfTwdZMWHhj8dIVaaLTvg9dxzjlAxvgw59FM5qI9PP7Rr5bpfP3Yg9VMPWy/pH9n72wkWAwVO/xPYaOYPDUUwAoLzrM/Jeebd2ARUSkIzmtjuWk8D4DZAJjw0tmeJsJ1zmt7cJs0JfCr/UNB5UNrDPGLDDGPG6M+Y0x5jFgA3AdTo+S77ZBnCIiIiIiURNzk25ba09raL8xZhTwOE536PPbICQ50kHngbAglglju7T++coLITGDkK86YeHyulv/vCKtxe2Fyx+FR6ZDoAIWPAyDzoH+Z0Q1LE96PKln9KLovW1gofD1TQy8fSSfz9zFvi1FFOwr440XN3DpNUPqbWP6DbeyeclCAr5Klr37JiPPPJfs7j3b7k2IiMiJ6vRoB3A8jDGTgBHAQmvtqnqqHQIeAibh/J2TCZQDa4G/Ag9aa6PfLVNEREREpBXFXMKiMdbalcaYy4HVOE8Y/SbKIXUo+w+Vk+pzyiWJLlKSWnloJmvhP+dCQjq28EzAGWffFd/uLl2R2joNhrN/Du/cC/3PhE5Dox0RAKmndKd08T6CByvwbS2iYtUBTr56EC/+ZjEAWz7dze5Te9A9t+7h4NJyOjPx4iuY9+IzhIJBZj7xLy7/QUwMHS4iIu2YtXZmtGM4HtbahRCeBK7+OkXAN9omIhERERGR2NQux9Wx1m4DFgE3RTmUDmfbhoJI2ds5ofVPuOVT2L8Wds7HFu6NbHbFKWEhJ4CJt8M1T8ENL0Fa12hHA4DxuMi4sHoC7sNvbaVT12SKuzpzWcRbw1P/XtlgGxMvvpzUbGe4uK3Ll7Bl2aLWC1hERERERERERE4Y7TJhEbYf6BPtIDqcg9XzA559Sq/WP9+Ch6vLyd0iRfWwkBOCywVDLwLT4AOXbS5xaDYJgzMBCBb5KP5kJ9ffNhKfsQAk7SxnwdK99R7vjU9g+g23RtY//e+/CAb8rRu0iIiIiIiIiIi0e+0yYWGMiQMmAmXRjqWjydtWFCn3GZTZuic7uBk2vOeU03pgPemRXe64Vh6KSqSDS7+oP7idRErx7F10i/cSP8r5zrswfPjMekKh+ifgHjz1FLoPGQZAwd7dzHvxf60ftIiIdBjGmI+bsXwU7XhFRERERKRp2lXCwhiTbIyZALwE9AQ+iXJIHYq1lrytTsIiIdlLeqfE1j3hwkcB54luJt0GQRvZ5Y5XwkJOMAEfrH0DPoyN+R68OYmkntLdWQlaCt/cwi23jKQ4/NXLKAnx3Evr6z3eGMPpt3wZ43L+mVnwynNsXrKgtcMWEZGO47QmLKfWKIuIiIiISDsQcwkLY0ywvgUoAhYAFwCHgR9HNdgOpiC/nIoSZ1iXLn3TMK05jE1FESx72il7EmHczRCs3u1OiGu9c4tEwxOXwHM3wGd/dHoXxYDU03vhSnO+axXrDmG2FzPknOqh4PZ8vIfN2wvrPb5L3/6ccv0tkfV3HvwjBfv2tFa4IiLSsZxez3Im8EXgZZxJrn8NnBGlGEVEREREpJliLmGB84dFfUsA2A78Cxhnra3/8V5pce/N2h4p+zNauYfD8mfAV+yUR10NSVm1Ehaaw0JOOIPOqS4vfzp6cdTgineTcX7fyPrhNzZz0Yw+HO7kfP8TrOF/f1tOMFD/0FATLryMQZOnAVBZVsrrf/gV/oqK1g1cREROeNbamfUsn1hrH7fWXgncBdwNFEY1WBERERERabKYS1hYa10NLPHW2n7W2justduiHWtHs2tTYaTs7ZzQeicKhWDhI9Xrk78CgKlxT9R4YmuSYpHjNvo6MG6nvPwZCAUbrt9GEkd3Iq5PGgCBgxWUzt3LbXeOp9TtDNGWURLi0X8tr/d4YwznfPVOsrr1AODAjm28/+jfsNbWe4yIiEhLsNb+FdgJ/CzKoYiIiIiISBPFXMJCYpc/v/qp6EnjclvvRJs+gENbnHLf6dDFmbiXWgkLXbpygkntUt3LongvbP44uvGEGWPIuLi/08cNKP54B9leN2OuHIANzzFjVx5m/47ietuIS0zi4nt+hDfBmfdm3ZyZLHv3zVaPXUREBFgBnBztIEREREREpGli7q6vMSZkjFka7TiktrJyP8nlTsag2Audc5Ja72TJOTBwhlOe/NXIZhOq7lVhvO7WO79ItIy9obq87MnoxXGEuG4pJE/uCoD1hSh8eyszTu9N2phsZ1vI8sF/VuP31d8rJLt7T8792l2R9ZlP/ovd69a0atwiIiJAFpAS7SBERERERKRpYi5hAZQCuosVYxYtz8NT9Yh1dnzrnqz7ePjCC/DNpbXG9Te2RsJCQ0LJiWjgDEju7JTXvQ2lB6IbTw3pM3rjSnLmjilfsZ/KLYf5wm2j6NQrFYCCfWXMfWlTg20MmjyNCRddDkAoGOSNP/+G0sKC1g1cREQ6LGPMdOAUYHO0YxERERERkaaJxYTFRqBztIOQ2tavrr5x2qlPatucNLs/uKp7UphQ9eWqIaHkhOT2wuhrnXLIDyufj248NbiSvKSd0yeyXvj6ZlzGcPYXh+HxOt/Hz2fuZtHc3Q22c8p1N9Nz+CgASgsO8caffkMwEGi1uEVE5MRkjLmvgeUBY8ybwEc4f+/8K8rhioiIiIhIE8XiXd+ngFOMMf2jHYhUO1hjfPphIzpFJQZXzR4W3li8dEVaQK1hoZ6CGJqcOnliLt5uyQD495VS/MkOMnOTmXbVwEidmU+tY+ee+uezcLndXHjnvaRk5wCwe91qZj39WOsGLiIiJ6KfAT8Nvx653A2cjzMD01+stX9u8+hEREREROSYxOJd3z8D7wEfG2OuN8YkRDkeAVyH/AAEsIwb1UoJi9WvwNo3IHT0OPjWWlzU6G2hHhZyouo0GHpMcsr5q2H/uujGU4NxhSfgDiv6cAelS/IYfko3SnO8ACSGDE/8dSmhUKjedpLSM7j42z/A5XaGmFr69musmzOzdYMXEZETzf3Az8OvRy4/Am4B+lhrvxOtAEVEREREpPk80Q6gDptwnobqCTwJPGmMyQfK66hrrbXqidHKdu8rISU8YktJsov4uFa4bIIBeP8ncHgnZPSGr86F+Or5EYN+Py5TI2GhHhZyIpvyVdgzxelt0WlwtKOpJb5POunn9eHwO9sAKHhpI+60OK7/+hie/cVCkkKGjMIgj/13FV+6dXS97XQdOJgzbr2DD//1EADvPfJXcnr1Iadn77Z4GyIi0s5Za++PdgwiIiIiItLyYvGubx+g6o6VCS9dwtvrWqSVLV6yL1JO6JLYOidZ/7aTrADnBm2NZAVAMODHY7zVG9yxeOmKtJARl8OMX8RcsqJKyvQeJE/p6qyELAefWktnaxh8cZ9InZIFB1i2Kr/BdkaddR7DTz0LgEBlJa//4ZdUlpW2VtgiIiIiIiIiIhLjYvGub99mLP2iFGOH0tlfPXfEmLFdWuckCx6uLk/+8lG7Az5fpIdFiBDGZY6qIyJtwxhnaKiEoVkA2MogBx5fzflTelDW20lqejC886/PKSv3N9jOmbd9lc59nI5yBXv38M7f/4RtYDgpERERERERERE5ccXckFDW2u3RjkFqy99WFClPGt+15U+wdyVsn+OUcwZB/zOPqhL0+3Eb53INGd3MlA7GWjCxlaQzLkPWdUM48M9V+HYWEyryceCxz/nyHaP5+/3zSfNBeiU8/OBSvvPdyfW2442L5+K7f8BT37+LitISNi+ez5znn+bka29sw3cjIiKxzhhz3/Ecb639eUvFIiIiIiIirSfmEhYSW2zIRhIWSelxpGTGt/xJFjxSXZ785TpvzAZqJCyssS0fg0gsKtoLK56F5c/AF16ArL7RjqgWV5yb7JuHkf+PFQQPVhDIK6PypU2ceeNQ5v17DR4M8ZtLefejrZx7Zv2xp3fO5fxvfZeXf/MzsJYFrzxHanYOo88+r+3ejIiIxLqfAcfzP4FKWIiIiIiItAOxOCSUxJCCfWX4KoIA5PZNx7T0U96lB2DVC045Ph1GXVtntaDfh9sVTli4lLCQDmLFs/DR/XBwIyx/OtrR1MmdEkfOrSNwJTvfz8othxmwpYj4sZmROitf3kL+/rIG2+k7Zjxn3HJHZP2jf/+DTYsXtE7QIiLSHs1qYDFAfiN1RERERESkHYjJhIUxppcx5h/GmI3GmDJjTLCeJRDtWE90sxfsipQzeqY0UPMYLX4MgpVOedyNR022XSXg9+EK97BACQvpKMZcD+G5W1j+DISC0Y2nHt6cRLJvHg4e55+UsmX5XNMrk8JUZz05aPjsv2sJ+BuOf+y5FzHx4isAsDbEW3/5HXs2rGvd4EVEpF2w1p5mrT29riVc5Z369teoIyIiIiIiMS7mEhbGmCHAMuAOoD+QgPPUVF1LzMV/olm3+mCkXJLcwj/uoB8W/cspGxdMuqOBqn7c4Ru36mEhHUZqLgw82ykX7YYtn0Q3ngbE90oj+9rBzm9moHTmLm44oxckOL839m46zIePrcWGGv7+nnLdzQyZdioAAV8lr/7u5xzas7tVYxcRERERERERkdgQizf8fwlkAu8DU4B0a62rviW6oZ74gvsrAAhhmTgut2Ub3z4XSvY55cHnQ2bveqsGfL7IHBYxedWKtJaxN1SXlz0VvTiaIHFEDhkX9ousu2ft5orLBuCJc760m5fmM+elTQ22YVwuzvnqXfQcPgqA8uIiXv71fZQWFrRe4CIiIiIiIiIiEhNi8dbvqcAO4BJr7UJrbXG0A+qoCosqSa10noYuiTdkpLXwhNv9ToWvL4SJt8HUrzdYNVjhj5Stu4Xn0RCJZQPPgaQcp7zuLSg7FN14GpEyrTsp07s7KxaCH27nnMv7Y1zO93bFRzv5z39WNtiGx+vlknt+RE6vPgAczs/jld/ej6+ivDVDFxERERERERGRKIvFhEUSsNBa64t2IB3doqX7cIXHd3HlJLTOSToNhgv+AL1ParBasLL6cjBKWEhH4omD0eHJ6IM+WPl8dONpgvRz+5I4ykmyWH+IuM92c/ol1T0vyhbu5/mX1zfYRnxSMpd//2ekZDvt5G3ZxJt/+g3BgKYuEhERERERERE5UcViwmILkBztIAQ2rq2evyK3X1oUI4FgZY2blJ7oxSESFbWGhXoSbGzP42JchqyrBhPX1/m9ESrxk7lqP+7BKc5+DHvf38WHM7c32E5qdg5X/OB+4pOcfxK2Ll/Ch//6OzbG37+IiIiIiIiIiBybWExYPAlMN8Z0inYgHV3hrpJIeeSozi3XsK8MQsFmHRKqlbCIxctWpBV1HgrdJzjlvM9h74roxtMExusi58ZheDolAhA4UM7lCXGU5cYB4MGw8n+bWLYqv8F2cnr25pLv/hi3x8lUfv7JB8x78ZnWDV5ERERERERERKIiFu/8/gGYB7xjjBkR7WA6Mm+hM2+Ez1hGDc1puYY/+yP8bRzM+ztUNm2KkqCveg4Lo4SFdERVvSy8SbB/XXRjaSJXkpecW0fgSvUC4NtezM39MylMdwMQbw0fPPw523YWNdhOz2EjOffr34msz3vxWVZ+9F7rBS4iIjHHGHNTfUu4yoAm1BERERERkRgX9cF1jDEf17HZC4wDlhtjduBMwh2qo5611p7ZmvF1VJu3F5IUdOaKKEtx42mpJIG/AhY/BmUH4IP7YPhlEJ/a6GEhX3UPCyUspEMacQUYA8Mvh4ToDtHWHJ6sBHJuGcH+R1ZgfSF8qw9x2+Su/HvWLtIrIDkIz/x+MV++fyrZGYn1tjPkpOmUHDrIzCf/DcCH//o7KVlZ9Bs7sa3eioiIRNfjQH1jAlpgWnipb/8TrRCTiIiIiIi0sKgnLIDTGtjnAvqEl7poIPNWsnRZXqSc3DWp5Rr+/EUnWQEw7BJI69akw6yveggpE6eEhXRACWkw/pZoR3FM4rqnkP2FoRz472oIgX9hHjec3Ztn39lOSgDSK+HhXy7gO784mcSE+v9ZmnDhZRQfPMDSt1/DhkK88affcMX376fHMHXGExHpAHag//cXERERETnhxULC4vRoByBHqxoOCqDf4KyWadRaWPBw9frkrzT50FCNhIXL426ZeESkzSQMziLzsoEUvLQRANdne7j4gt68/fo2EqwhozjEX34zn3vvOwmXq/6k5Gk3fomSQwfZMP8zApWVvPTrn3LJ3T+kz5jxbfVWREQkCqy1faIdg4iIiIiItL6oJyystTOjHYMcLXSgMlI+65ReLdPo9rmwb5VT7jYOejR9KJeQv0bCIk4JCxEObIRNH8KUr0Y7kiZLnphLoKCC4o93goXUOXuZdn4vFry1Aw+G1H0+Fr6+lSmX9q+3DeNycd7Xv4Ovopxty5cQ8FXy6gO/4IK7vsfAiVPb8N2IiIiIiIiIiEhLi/rYOsaYj40x90Y7DqkWDIbYv92ZDDs1O4GktLiWaXjBP6rLU77qjMffRNZfc0goJSykg1v4T3j4ZHj3+7ClfeV8087uTdK4zs5KwNJr2QEGnN41sn/Ju9tZ+t72BtvwxMVxyT0/ZuCkkwAIBgK88cdfs3b2J60Wt4iIyLEyxmwzxth6lk/rqB9vjLnPGLPRGFNhjNljjHnUGNM5CuGLiIiIiLSpqCcscOawGBLtIKTaod2lBPzOHOe5fVtoct/CHbDuLaeckgvDLm3W4dZfPee6Ky7qHYNEostaCFQ45de+AZXF0Y2nGYwxZF4+kPiBGQCEygKM217K9Bq9Kua9spkFr2/B2vqHKvd4vVx41/cYdoozqqANhXj7739k5Yfvtmr8IiIix+gwcH8dy+M1KxljXMBr4X0HgD8D84DbgHnGmE5tFrGIiIiISBTEQsJCYsy6NQci5S5901um0YX/BBtOOkz8Enia2WsjWH3j0h3nbZmYRNqribdBn1Oc8uEd8P5PohtPMxmPi+wvDMXbNRmA4KEKOm86xNSL+0bqLH57G3/43QJCoVB9zeByuzn3a99m9NnnORus5YN/PsiSt15tzfBFRESORaG19md1LI8fUe9m4BzgWeAka+33rbVXAF8D+gH/17Zhi4iIiIi0LSUs5ChzFuyJlIOZLZAc8JXC0v86ZXccjL+l2U2oh4VIDS4XXPIgeJ0b/ix5DDZ9FN2YmsmV4CHnluG4053kpX9XCb3yyzjlqoGROolby3jgl/PwB+pPWhiXizO/9DUmXHR5ZNunT/yLeS8+22APDRERkRh1e/j1B7b2P2SPAFuALxhjEts+LBERERGRtqE7v3IUG55wO4hl0JDs42/QXw7DL4MVzzmvKccw/G7NHhYJ6mEhQmYfmPFzeOtuZ/31b8HX5kJCC/WKagPu9Hhybh1B/sMrsBVBKtYdomd6HKmndOLw7HxcGFJ2V/L7n8/lOz+eQnw9yUpjDNO/cCtxCYnMfeFpAOa+8DS+inImXn5tW74lERGR+sQbY24BugFFwCJr7YKaFYwxCcBkYL21ttaETtZaa4z5APgyMAGY3dQTG2N6NFIlt6pQXl5OeXl5U5uWdkKfqVTRtSA16XqQKroWpKbmXA+tde0oYSG17D9UTprfKZckukhJaoHkQHIOXPQXOPOn1ePuN5OtnnNbCQuRKuO/CGteh60zoWgXvP9juPhv0Y6qWby5yWTfOIwD//kcgpbSBfu4cEIXPjizG3kf7cGNIS3fxx9+Npe7fjKVpMS6v//GGKZeeR3e+HhmPvUfABa/8TLlJcXY3N4YY9rybYmIiBwpF3is5gZjzCLgOmvt5vCm/jg94DfW00bV9oE0I2EB7GxqxVmzZpGTk9OMpvXnZHvw/vvvt9GZdD3EOl0LUpOuB6nSdtcC6HqIfc25Hg4cONB4pWMQK0NC3WyMCR7DEoh24CeahYv3Rsrezgkt23hSFqR1O6ZDTY0eFq54JSxEgOqhoeJSnPWlT8DGD6Mb0zFI6J9B1lWDIutli/M4fX8l/Wb0IIDz3U8/FOBPP5tLcYmvwbYmXHQ5Z9/+DQgnKFZ/8gH58z7FNjAXhoiISCt7DDgT6AIkA2OBJ4GJwEfGmNRwvapukofraafoiHoiIiIiIiecWElr6dHXGLFl/aFIFqt7/4xohlJbjXuNnoRmTtgtciLL6AUz/g/evMtZf+NO+NZS8MRHNazmShrTGQwUvLgR6w/h21HM+MJKUs7uwfIPduHFkHE4yF9/Npev/Hgy2Rn1D9896qxz8cbH885Df8KGQhRv20QoGCBwxhmQqGG/RUSkbVlr7z9i03LgpnDvvxtx5q34YyuG0LOR/bnAIoDp06fTo0djI0jVMO/jY49K2syMGTPa5kS6HmKergWpSdeDVGmzawF0PbQDzbkedu3a1SoxxErC4l3gt9EOQqBodykZ4fLo0ccw10RNh7bAhvdhzPWQkHZcTZmgiaS1XF738cUlcqIZfwuseQ0KtsIlf293yYoqSaM748lJ4uATqwke9hEs8jFg2X5STu3KrFl7ibeGjJIQj9w/ny/9cBJdOiXX29bQU07HEx/Pm3/5HaFAgNKd23j1Nz/l0u/+mNSs5gx1ISIi0moewUlYTMNJWFT1rKivB0XV/1DX1wOjTtbaBv+SrDlsYmJiIolK7p9w9JlKFV0LUpOuB6mia0Fqas710FrXTqwMCbXPWjvzWJZoB34iCYVCJBQ5o2xVuCxDB2YeX4MLHoF3vwd/HAabPzmupoyt/kPKeGPlshWJEcbA5Y/CV+ZAn5OjHc1xieueQudvjCWud/ieTMCSu+Ig507oRKUJDw9Vbnn3byspK2p4eKiBk07i/Du/h3E7ufn8LZt4+gffZs+Gta36HkRERJqoatDfqgz8Fpx+xQPrqV+1vb45LkRERERE2j3d+ZWIdZsKSAg5iYGKNA8u13FcHhVFsOxppxwKQNfRxxdcjSGhjEeXrchRUjpDfEq0o2gR7tQ4Ot0+kuRJuZFtaRsPc8ngDALhDlYl+eW88oelFB0ob7CtXiPH0GPGxXiSnZ9NaWEBz9//A1Z93JaTiomIiNRpcvh1G4C1thxYCAw2xvSuWdE43SDOBkqBxW0Yo4iIiIhIm9KdX4lYsTw/Uk7tVv9QK02y/BnwFTvl0dc4E24fB1dIPSxEmiUUgk3tbwLuKsbjIuOyAWRc0h9czvc/fl8ZV/ZMoXOGM49NYV4ZL/x6Mbs3FDTYVnxmNj3PuZRuQ4YDEAwEeP+Rv/LRfx4mGAi07hsREZEOzRgzxBiTVNd2qofEfabGrkfDr782Ncdqgi8D/YCnw4kNEREREZETku78SkThrpJIud+Q40gwhEKw8JHq9clfOY6oHIbqeSvUw0KkEYe2wn8vgqeugHVvRzuaY2aMIWVqN3K+NAJXkjOsky2sZGqcoV9OAgAVpX5e+dMyHntiVYNtuRMSueieHzPmnAsj25a/9yYv/fInlBU1ayhwERGR5rgW2GeMedMY83djzO+MMa8CK3Emu/61tXZWjfr/Bd4DrgPmGmN+Y4x5EXgI2Ar8uG3DFxERERFpW7rzKxE5vuqHuE6a2O3YG9r4vjPhNkC/06Dz0OMLDHDVmMMCJSxEGrZjHmz/zCm/eReUHYpqOMcroX8Gnb8xFm9uuOeXL8TIQJCJPZ11Y6Fs7n4e+M08fL76e0y4PR7O/OJXmPHlb+EKz2uxc80qnv7ht8nftqXV34eIiHRInwDvAIOAG4Bv4wwF9TZwjrX2hzUrW2tDwCXAz4BO4frTgH8DU621+9sschERERGRKIj6nV9rrcta+8Vox9HRBfxBDux0hnDK6JJEVmbCsTe24OHqcgv0rgD1sBBpltHXwcBznHJJHjx/E/grohvTcfJkJdDpq6NJHJEd2dat2MfYTnGR3w5J28p54MefkX+grMG2Rp4xg2t+9muSMzIBKNqfz7P3fZf182a3VvgiItJBWWtnWmuvsdYOstamW2u91tqu1tpLrbV1Tqhkra201t5vrR1grY0P17/dWpvX1vGLiIiIiLQ13fkVAA7sLCEUtADk9k079oby18GWT5xyZt/qm6bHIRQM4g7fkgwRxLhMI0eIdHDGwEV/gcTw0G7bZsPLt0MoGN24jpMr3k3W9UNJO7t6HtJefsv03ATijPP7K6MoxH/un8+KNQ0/gNpt0FC+8Os/kdt/IACBykre/PNvmf3sfwm185+TiIiIiIiIiEh7pYSFAJC3tShS7nI8CYtavSu+DK7jv8SCfj9u4wzfEiJ03O2JdAhpXeH658Abnudz7evw1t1gbXTjOk7GZUg7sxfZNw7DxDmJzLSKIGd3SiDF69RJ9cNHf1vJW+83PMxTalYO1/zstww/9czItoWvvsCrv/uF5rUQEREREREREYkCJSwEgI/m7IiU03ukHFsjgUpY86pTjkuBMV84/sCAQKA6YWFN+77ZKtKmek6Cq58El/P9Yclj8MmvohtTC0kcnk3nr43GneUMX+fxhTgjxUuXJOeftXhr2PLyVh5/Yg2hBvKcnrg4zvnqXZx20+2YcIJ167LFPPHdb7B12eJWfx8iIiIiIiIiIlJNCQsBwJ9f6bxi6dLzGBMWnnj4xhI48z6YdhckHEdPjRqCPh8uEx4SyqiHhUizDDwLLq3R82nW72DBI9GLpwV5c5Pp8o0xxA/IAJzJt6fEuRmS4cEALgyhZYdZvzgB28CvDmMM4y+4hCt++HMSUp3fW6WFBbz8m5/x4b//gb+yfc//ISIiIiIiIiLSXihhUYMxZqIx5m1jTKExptQYM98Yc3UTjzXGmPOMMf8wxqw0xhw2xpQZY1YYY35ojDmOWaxb1669xaQEnHJpsou4OM+xN5acDafcDad+t2WCAwI1hoSyLvWwEGm2UVfBub+tXt/8CQ12O2hHXElecm4dQcq0bpFtgzFM7RRHXHi6m9SDXvYvTKTssK/BtnqPHMPNDzxI3zHjI9tWvP8WT37vTvZt2tAq8YuIiIiIiIiISDUlLMKMMacDc4CTgeeBh4Fc4DljzN1NaCIeeBu4FdgDPAr8G0gEfgnMMsYktULox23xkrxIOTE39kIM+v24XRoSSuS4TPkKnHIPjL4OrnmyReaXiRXGbci4qD+ZVw4Ct5Ol6OS3nN4pngyvs+4r8PDKAyvYuvJAg22lZGZx2fd/xplf+hqeuHgACvbu5pmf3MO8l54lFNSE3CIiIiIiIiIireXEuWN1HIwxHuCfQAiYbq29w1p7NzAa2AD8yhjTu5FmgsCPga7W2nOttd+11n4TGA68AUwEvt5qb+I4bNtYECn3DA+t0mz+8pYJpq6mfZWRHha6YkWOwxk/hkseArc32pG0iuQJXej05VG4Up33l+ALMT3dS49EZ39laYC3H1rJH349n5LS+ntbGGMYM+N8bvztX+jSbyAANhRi7vNP87+f3kvBvj2t/l5ERERERERERDoi3f51nAH0B56x1i6v2mitPQz8CogDbm6oAWut31r7S2ttwZHbgV+HV09tyaBbSume0kh57NguzW9g7wr4/WB470dQsL0FI3MEK6pvLFp303pYrNi/gve2vcfOop1Yq14ZIgAYc3TPisKdsP/EGe4ovlcaXb4xFm/PVABMwDI+3suILAiPEEXC9jL+9oPPWLoqv8G2srr14LpfPMCUK67FGOfntnfjep6891us/Ohd/W4REREREREREWlhxzFZwQnltPDr+3Xsey/8ejzJBn/4NdDcA40xPRqpkltVqKyspLy8eT0dgsEQiSVBwFDmtnTt5G12G945D+KpPAzzHsSX2oPg2FuadXxjyotKqZoAxBp7VHwhG8Jlat+EfX7t87y+9XUAUrwpDM4czJCMIQzOHMzQzKH0TO151DFtqaKios6yxK4T8TMzB9YT9/x1gMF3w+vYtO7RDqllxEHqTQMpeWM7vpUHAegf8tI118XC/ZUcDkKaD2b/fRWLJ2bxhWsH4WpgiKxxF11Bt6Ej+fDRv1KUn4e/soIPHn2QjQvncdqtXyEpPaON3ljHcSJ+3050+szap8rKymiHICIiIiIiUosSFo6B4deNR+6w1u4zxpTUqHMsvhh+rSsh0pidTa24YMECNm/e3KzG9+53EW+TASiOD/Lhhx826/g4fxEzVr8MgM+dxPv7sgm+fyxvs37+HXuZwnAASirKeL9G+8WhYh4veZxzE89loLf6I1pUvChSLvGXsCR/CUvyl1THTRwZrgxOij+JCfETqs9l/cyvnE+8iSfRJJJgEkgwCRgMFkuQIBZLyIbo5emF11QPrXMweJC9wb0ECRIiRNA6ryFChGyIYPi/RJPI5PjJkeNmzZrFwsqF5AfzI/Vt+L+QrS4DDPAMYFz8uFo/nzfL3sRiMVX/GYO76j/jxoMHj/EwyDOIbHd25LjyUDm7g7vxGi9xJo444og38cSZODx4oprQiXWzZs2KdggtYuqm39G52BneyP/YRcwe+CP8ntQoR9WCkqBz73h6bE/CYEiqCHFaqpeN/iCbykJgDf5FBfx29RwGTSgnNbnh5nJOPQ+Wzado0zoAti1fwhP3fpOcsZNJ7TsQY0zDDcgxOVG+bx2JPrP248CBhuf1ERERERERaWtKWDjSw6+H69lfVKNOsxhjzgO+DKzFmYQ7puzf7yYrXHalNX8y2T4HP8ZtnY4j27NPJeiOb8HoHCZUPexKzUm3fdbHk6VPkhfK48nSJ7km6RqGxzmJjbMSzmJXYBd7g3vZHdxNsS2u1aYPH/mhfHy29jj25bac9yreoym+k/odstxZkfUNgQ28Vf5Wo8dlu7JrJSwA1vvXsz6wvtFjE00i46idsFjkW0SQxj+79KT0WgmLfaF9PF76eL3144hzEhkmjq+nfp14U/3ZrvKtYr1/PR7jwYvXeTVePFS/GgxprjQGeQfVavdz3+dU2Mafvu3h6UGuO9KBCJ/1sdK3stHjAIZ7h5PoSoys7w/uZ3ug8eHKvMbL6LjRtbZt9m+mIFQ90pvF1kpEhXCSUV3dXRnsHVzr2JkVMxkTN4Z01zH9+mh1S3t/mZM3/h8plXmkVuxhyuY/MnfA9wi6Exo/uD0wkN+tkpLUAL22JpNc6vyTN9Drpme6i3VlQbb7LF3KPOz5LBnP0Er696q/I5zL66XzpFNI7taL/IWzCVaUE6qsIH/+TIo2r6PThGnEZ2bXe7yIiIiIiIiIiDRMCYtWZIyZCDyHkwi5ylp7LP3uezayPxdYBDB58mT69+/frMbXrlgCODftJ00byOknN2NImKCPhH/cA4A1Lnpe/nN6pDcWbvNt/mgu7HXKqZlpzJhxCsFQkHvn3suew87T4Z2TOnPjmTeSk5gDwAxm1GrjQPkBNhRuYF3BOtYXrGd94XoKKgsYP3I8M/pW1918eHP1IGCNOOnkk+iV2iuyXrSpiLeWNp6wiE+MZ/r06ZEnUKdPn857i99j/Z7GExa9e/Vmxrja7+2nL/wUmjCU/qTxkzip60mR9QX7FkADD8H68DkJHQvnnX0eHlf1r4t1K9axfP3yRs85uctkvnHqN2pt+/e7/2Zr0dZGj71z9J3MGFz9XvPK8vj5mz9v9DiAa6ZfQ//06u/Ca1te49XFrzZ6XOfEznx3xndrbfvB3B/w0a6PGj320n6XMmNC7c/mVy//ivnB+fxwwg85s+eZTYq9rZnCSdinLsKU5pNVtpnz8x+k8oonIeUY5rOJQRUVFcyaNYt1I4uYmjoc/6x8bGWQBAxjkjz0jAuxqjwIQRd2dQKbK5P54u3DiY9r+J/HsiuvZvZT/2bzwnnOefbnseu9Vxl51nlMuuxq4hKT2uLtnbCqPjdwfkcmJJwgSbQTmD6z9qm5PXNFRERERERamxIWjqqeFfU9Bp0GFNSzr07GmAk4Q0CFgHOstauPJTBr7a5GzhMpx8fHk5iY2EDto3ULuSnGud990uSeJCY2o4fEyjeg1Jm01gy5gITcQY0ccGzcoer36Ipzk5iYyG8W/obZe2YDzhwV/zjrH/TMrD9Z0jOxJz2zenImtW8aW2tr/Qx7uXvxp9P+RLGvmCJfEcW+Yop9xVgsbuPGZVy4Xc5QS53SOpGYUP3znth9Ive47sHj8jhDMdV49bq8uF1uPMZDkjep1o2chIQE7p10L1/zf81pP3yeqsVt3JEYk73Jtc4J8L8L/+cMHWWdIaSCNog/5Mcf9OMP+fGFfPiCPkbljqp1ffTN7svtI2+nIlhBeaCcMn8ZZYEyyv3lznqgjDJ/GQEbIDW59jBBgSZOx+J2u4+6Jps61JTX6611bEKo6Te/EuITah0bFxfXtAMNR8Xrdrubdqyr9rHWWtwuN8W+Yn4w7wdcfuByvjfxeyR5Y+xGduIQuPEVePx8qDiMa99KEp+6EK5/HroMi3Z0LcdA6kndiZvUi8NvbaFs+X4Asj0upqcYtvpCrCsPYTaV8dpfVnP+rcPp1LP+4bESExO59O4fsW3lMj7+zz8o2LsHGwqx8v232LxoHqfe+CWGnDRdw0S1gISEhGb/2ybRpc+s/YiPb/mesSIiIiIiIsdDCQtH1dwVA4ElNXcYY3KBFGBhUxsLJys+AFzADGvtokYOiQpfRYCSPGcC65weKWSkNfOP1gUPV5cnf7UFI6vN+gKAM1eE8bh4as1TPL32aQA8xsMfT/sjAzIHHFPbR95MTItL46zeZx1TW0OyhjAka0iT6h45cXif9D7HdM6q8x6L3mm9+da4bx3TsV8f83W+MPQLVAYrqQhW4Av6qAiEX8PrFkvnpM5HHzv26xT7iutotbYROSNqrafFpXH/Sfc3Kb5OSZ1qrY/tPLZJxybUMRTS1YOvZlr3afh8PlavdvKOo0eOJjE+EbfLjdc4yaiuyV1rHVceKOekbifx3jany87LG19mad5SfjP9NwzPHt6k99FmckfAF9+Dp6+Cwzud5T/nwNX/hf5nRDu6FuVOjSPr2iEkTcyl8NVNBPaX4zKG/vFuunldfF4eZM+eMl741SJGTO/OpIv7kZDsrbe9PqPGctMDf2fxGy+z4JXnCfgqKS04xNt/fYDPP36PM279Ktk9Wr7nmYiIiIiIiIjIiUgJC8dM4AfADOB/R+w7p0adRtVIVrhxelYsaKkgW9r+HcXY8FBCXfqmNe/gnYtgdzi302Uk9D6p4frHIeirfpr/YOAQv1v0u8j6fVPvY2q3qa12bqlbRkIGGQkZx3Ts2b3PPqbjkrxJXD7w8mM6tm96X/qm9z2mYyd3deYbKS8vJ3GT88TwjD4zGn16OMmbxAPTH+Dk7ifzqwW/ojxQzraibdzw9g3cOfZObhp+U2xNbN55KNz2ETx7DexZBpVF8PTV8K2lkNGr8ePbmYT+GXS5cxzFs3dT/PEOrD9EosswMdlDvj/EyvIgq2buZuOSfBLGZ3HtVUNxe+r+vDxeL1Muv4ahJ5/GJ/99lM2LnV/7Oz5fyRP3fpMJF17KlMuvxashckREREREREREGhRDd8ui6iNgC3C9MWZM1UZjTDrwQ5xJHp6osb2rMWZIeD81to/HSVZ4gPOstfPaIPZjlre1KFLu0qeZCYsF/6guT/kKtOKwJ9ZXPaH0skMrsOEJG+4YdQeXDbys1c4rcryMMVw64FJeuOiFSK+KQCjAH5b8gS9/8GXyy/KjHOERUrvALW/B4Auc9TN+fEImK6oYj4u003vS5dvjSRiaFdne2evi9FQPQxJc+Er8FM7M47ffncmchbsbbC+9cxcu/e5PuPTe+0jr5MwBEgoGWPjaizx291fZuGAu1jZhwhkRERERERERkQ5KCQvAWhsAbsP5ecwyxjxqjPkDsAIYBPzQWrutxiG/BtYCkbvlxpgsnGRFBvAZcLYx5mdHLHe1xftpqhUrqm+W5vatb/qOeuSOhJRcSMqBEVe2cGS1hfzVCYtyUwHA+X3P5xtjvlHfISIxpXdab54870m+NOJLGJzk3vy987ny9SsprCiMbnBHikuGa56Eqx6HaXdGO5o24clKIOfm4WTfNAx3hjM0ntsYBie4OSPVQ2ePIb3csuw/6/jtL+awN6+0wfb6j5/ELX98iClXXIvb43RkLD6wn9f/+Cv+99PvsXvdmlZ/TyIiIiIiIiIi7ZGGhAqz1n5ijDkZuB+4BmfShFXA96y1zzWhiTQgM1w+N7wcaTvw5+OP9viFQiEObCsiCUOlsaR3bubkmCd/G6Z8HQ5uBG/rDnNiayQsgm7LuM7j+MW0X2gyW2lXvG4vd42/iyndpvCj2T8ivzyf8/qed8xDa7UqlxuG19F7ae2b0GsqJGe3fUxtIHFYNvEDMij+eAfFs3ZDyJLsNkxN8bDHF2JVeRCzu5JnfjafjMmduOmGEXjrGSbKGxfPtKtvYNgpp/PRfx5m+8plAOxZv4b//fRe+k+YwinX3az5LUREREREREREalDCogZr7ULgvCbUuwW45Yht24B2cwd9y44ikkJOuOUp7nrHZm+QJw66tP7kwTYQipTPHjiD28+YRJw7rtXPK9IapnSdwksXv8Sjqx7lznHtqAfDpg/h+Zsgszd84UXI7h/tiFqFK85N+rl9SRrbmcLXNlO55TAA3eJcdPYa1lWE2FIZomL+AR5Y/iknXTWQ06bVn3TI7NqdK374czYvXsDsZx7n0J5dAGxePJ8tSxYy4oyzOenK60nJOjGTQCIiIiIiIiIizaEhoTqoZcvyIuXkbslRjKRx1l+dsOic3oX0+GYOXyUSYzISMrh34r3Eu+Nrbd9Xuo9Sf8PDDUVFKAjvfB9sEA5tgX+dCdtjeoqe4+btkkzO7SPJvGYwrhQvAB5jGJHo5rRUD1luQ3oFrH5yI7/7yWwO7impty1jDAMmTuHm3/+ds+/4JimZznwZ1oZY9dF7/PvOO/jsf09QWRaDn72IiIiIiIiISBtSwqKD2rGpIFLuMzCzgZo1WAtz/gqFO1opqtoeXfkoT6x+olYPC1ecOgXJiWnO7jlc9cZV/HTuT2NvYmaXG258BTqHe1SVF8ATF8OCR53fCycoYwzJYzuTe/cEkqd0jfShS3MbTkn1MDbRTZyB5P1+nvvFQj56fA1FB8rrbc/ldjPqzHP44l8e5eRrbyIuMQmAgK+SBa88z7++dTtL3nqNgN/fFm9PRERERERERCTmKGHRQVXsq76pNmF8l6YdtH0OfPAT+Mto+PiXrRSZ480tb/K3ZX/jgcUPkF9c3RvEFe9t1fOKREOxr5h7Z91LYWUh7217j2fWPRPtkI6W0RO++C70P8NZD/rgne/C01dCje/oiciV6CHz0gF0/voYvN1TItt7xbs4K83DqEQXqQbWzd/H0z+dz4dPrWXnnuJ62/PGJzD5sqv50l//ybjzL8HldhKxFcVFfPrEP3ns219m9cyPCAWD9bYhIiIiIiIiInIiUsKiA6r0BUgudXotlHigR9fUph244GHn1YYgZ1ArRQeL9i3ivjn3RdbjbPV8FZ54zV0hJ57UuFR+Pu3nkfXfL/49K/aviGJE9UhIg+ufh8lfrd626UP4x1RY91b04mojcT1S6fz1MWRc0h+T4AbAawx9492cnubllBQ33V2w8bO9vPSLhfzlT4s4UFB/j4uktHROv/l2vvjnhxl68mmR7UX783n3oT/x2He+wqpP3icYUI8LEREREREREekYlLDogJau3I83PLZJKLOJPRYKtlffkEzJhWGXtEpsWw9v5a5P7sIfcm7QXTXoKjK81XNWuBLUw0JOTGf2OpNbht8CQCAU4O5P7+ZQxaHoBlUXtxfO+w184SVICffOKjsI/7se5j4Y3djagHEZUqZ2c4aJmpyLiav+ZzTL42Jcsodz0jyMiXeTvrGY//5wLv94eCklpb5620zvnMv537yHG37zF3qPGhvZXrhvL+8//Ff+fecdLH//bQK++tsQERERERERETkRKGHRAa35fH+knN27ib0rFv3T6VkBMPFL4Gn5ng4Hyw/ytQ+/RpGvCIBp3afxw8k/hBqjoniUsJAT2J3j7mRc53EA5JXl8YPZPyAYitFhgQaeBV+dC4MvcNbjUmHohdGNqQ25U+PIvGwgXX84mYxL+uPpkhTZF+cyDEhwc1aalzOSPHRZfZiH753Nvx9fSVl5/b0luvTtz5U/+gVX//TX9BoxOrK9+MB+Pvr3Q/z7W7ex5K3X8FdWtOp7ExERERERERGJFs1g3AHlbysiLVwePDyn8QN8pbD0CafsjoPxt7Z4TBWBCr71ybfYVbLLiStzMH849Q94XB5Mjfu17gQNCSUnLo/Lw+9P/T1XvXEVBysOMnfPXB5Z+QhfG/O1aIdWt+QcuPZp5/eDNwky+0Q7ojbnSvCQMrUbyVO64ttRTOn8vZSt2g8BZzLyTl4XnbwuRoUs25cf4rFFs3CPyuLa64aRkRZfZ5s9h42k57CR7NmwlvkvP8fWZYsBKCk4xKdP/JMFrz7PhAsvY8yM8yMTd4uIiIiIiIiInAjUw6IDSg3PXxHEMmFMEybcXvEsVBx2yiOvgpROLRpPyIb44Wc/ZOX+lQB0TurMg2c+SLI32algTaSuW5NuywmuU1InHjj1AVzG+fX88IqHmbN7TpSjaoAxMP5mGHVV7e2VJfDyHVCwLSphtTVjDPG908i6ZjBdfzCZ9PP74slOiOxPcBkGJ7i5OMXLhA1FvPPjuSx8fTMVpfX3uOg2aCiXf/9n3PDrPzNg4pTI9vKiw8x+5nH++fUvMu/FZ6koKWnV9yYiIiIiIiIi0laUsOhgKkr9mOIAAF16p5Gc2EgCwFpY8Ej1+uQvt3hMDy1/iA+2fwBAkieJh858iNzk3Mh+E6pOWLji3C1+fpFYMzF3It8c+00ALJYfzP4Bxb7iKEfVTO9+H1Y+B/84GVb8z/ld0kG4k72kTu9Bl7snkPOlESSOyI7kXY0x5HpdnJLkIeOz3Xx231zmPbuO0sLKetvr0m8Al9zzY2564EEGnzTdSRIBFaUlzH3haR75yk289dcH2L5yOaFYHUJMRERERERERKQJNCRUB5O/vShS7tovvYGaYZs/hgMbnHKvk6Dr6IbrH4Pz+57Pm1veZF/pPn5/6u8ZnDW41n4TMhDOUxiPcmzSMXxxxBdZkb+CRXmL+MnUn5Aa18T5ZmJBeSFsneWUfcXwypdh2VNwzi9b5XdIrDIuQ8LATBIGZpJRVEnpojwK5uzGXeYkjZNchiEuQ2h5PqsX57Em1cPk64cwdFB2ne116tWHC++8l5Ouup6Fr77AmtmfYEMhAn4f6+bMZN2cmaRmd2LY9DMYfuoZZHbt3pZvV0RERERERETkuClh0cHkba1OWHTpk9ZAzbAVz1aXp3ylFSKCfhn9eOr8p1iWv4xTepxy1H6XrZGkUMJCOgiXcfF/J/8fhZWF9E7rHe1wmicxA77yGbxzb/XvkG2z4ZFTYcwX4IwfQ1rXqIbY1txp8aSd2YvU03tSse4Qh2fvxr/1MAZwGUM3r6FbRYjif67m1ThD9wv7MXFq3QmHrG49OPdr32bKFdex9O3XWPvZp1SUOD1wig/uZ8Erz7HglefoNmgow087k8FTTyE+KbkN362IiIiIiIiIyLFRwqKD2bP5cKSc268JCYtL/g4DzoI1r8HgC1otrpzEHM7ufXad+0yNkcvUw0I6kvT4dNLjm9ATKhYlpMFlD8PQi+C9H0HBVsDC8qdg9Stw8l0w9RsQ17EmjTYuQ+KwbBKHZRM4VEHhZ7soWZiHJ+DMLZTqNkwIQvDVzXz68iaKBmdw+rVDSE05eoLujC65nHHrl5l+wxfZsnQhqz/9kK3Ll2BDTlt7Nqxlz4a1fPLYowyYNJURp51NzxEjcbk0tJ6IiIiIiIiIxCYlLDqQUCjEpnUHScAQijOk5SQ2fpAnHkZf6ywtZF/pPp5a8xR3jrsTr7vxSbSreliEbBDjMo3UFjmxvbLxFUZ3Gk2/jH7RDqVphlwAA86GhY/CzN9B5WHwl8Inv4T1b8Ptn0TmZOhoPFkJ5Fw8gOzz+5G3cC9739tGp0on2eA2hgFuA5uK2Hb/fDaleuh3cX9Gj8k9uh2vl0GTpzFo8jRKCwtYO/sTPv/0Qw7u2gGgIaNEREREREREpN1QwqIDWbuxgITwBNZFSS5MFG4SlvpL+fpHX2dDwQbWHVrHH0//I2lxDff0cIV7WITQZLLScVUEKvjlgl/y6qZX6Zfej2cveJYkbzvpneCJg5O+AaOvg5m/gUX/BhuE8bd22GRFTcbjIvek7uSe1J1DWwtZ8/x6uh6qJD78s8l0u5hYFiLw7AYWvLSZrOk96HdaT9zeo3ucJWdkMuGiyxl/4WXkb93M559+yLo5M+seMmrwMEacdhaDppxMfFI7uZZERNoZY0x34CrgfGAIkAscAuYAv7PWLjii/s+AnzbQZF9r7bZWCVZEREREJAYoYdGBrFiRHymndW9kPPOAz7nJ2IL8IT93f3o3GwqcSbx3l+wmEAo0eIy1Fnf4Mg2ZUIvGI9KeWCyrD64GYMvhLdzy7i08cOoD7Wt+i+RsOP8BmHibk7QYe0Pt/cX7IFABmX2iEl4syOqbwcnfm0yw0s/yVzbhWnGATtbZ5zGG7v4QfLSDtR/uINgvndzz+9Cl59FJX2MMXfoNoEu/AZx645fqHjJq/Rr2rF/Dx489wsDJJzH81DPpNXwUxqWh90REWtA3ge8Bm4H3gf3AQOBS4FJjzPXW2ufqOO6/wLY6the2SpQiIiIiIjFCCYsOZPfmQqqeoe03OKv+iqEg/OMkyB0Bk78KvSYf97mttfxqwa+Ys2cOAGlxaTx01kNkJTQQBxAKBnAZZ7z1EEpYSMeV6Enkj6f+keveuo4SfwlrD63lmjev4adTf8p5fc+LdnjN02kwnP+7o7d/cJ8zv8Xo62DanZDdv+1jixHueC/jrx0K18K+z/ez+fVNdD8cwBPukJJhgK2HKf3bct7DUjwkg9MvH0R2xtFD/dUcMqqk4BBrP/uU1TWHjPJVsnb2J6yd/QmpOZ0YfuqZDJ9+Jhm5HWtidBGRVrIQOM1aO7PmRmPMKcBHwD+MMa9aayuPOO5xa+2nbRSjiIiIiEjMUMKiA/HnV0TKkyY0cCNq4/twcKOzlBfCTa8e97kfW/0YL254EQCvy8tfTv8LfdP7NnpcwOfHbZzL1Lrsccch0p71Se/Df8/7L3d/ejfbirZR6i/l3ln3snDfQr438XskeBKiHeKx270EVoYfMF36X1j2JAy/HE75DnQZHt3Yoix3RCdyR3QiWO5n7wc7qFicR4LPGSIvzmUYjoENRWz/xULeTXCRMjmXc87pS0L80f/Ep2RmMfGiy5lw4WXkbd7I5zM/Yt2cT6ksLQWg+MB+5r/0P+a/9D+6DhzMgIlTGTBxKlndNN+FiMixsNa+XM/22caYT4AZwEhgcZsGJiIiIiISo5Sw6CBKyvyklIcAQ5EXOmU1MOH2/H9Ulyd/5bjP/e62d/nTkj9F1n8x7RdMyJ3QpGODgRoJCw0JJcKgzEE8d+Fz/N/8/+ONLW8A8OKGF1mxfwW/P/X39EtvJ5NxHyl7IJxyjzM5d2UR2BB8/qKzDDoPTrkbek6MdpRR5U700uPi/tiL+lG09hBb39hM5qEK3OG5Ljp7XXQOQsVne5n1yW42Zscx/IxeTJ/SDdcRwzwZY8gdMIjcAYM47cYvsXnJQlZ/+gHbVizDWud37d6N69m7cT2zn3mcrO49GTBxCgMmTiG330ANGyUi0jL84de6xkidboyZDISAjcCH1tqSYzmJMaZHI1Vyqwrl5eWUl5cfy2kkhukzlSq6FqQmXQ9SRdeC1NSc66G1rh0lLDqIxcvycOPc1DI58fVXzFsDW8M91rP6wcAZx3Xe5fnL+dHsH0XWvzHmG1zQ74ImH++vrMTtquphcVyhiJwwkrxJ/PLkXzIxdyK/WvArKoIVbCzYyLVvXstj5zzG8Jx22CMhIQ3O/Amc9E1Y9C+Y/xCUHXT2bXjHWfqc4vS46Hd6h56s2xhD+rBsxgzLJlBSyepXNuFde4i0cE43wWUYFu9maHGAvJc288zzG+l/Wk+GTu1GRpejJ9f2xMUxeOrJDJ56MiWHDrImPDzUgZ3bI3UO7d7Jwt07WfjqC6RkZtF/gpO86Dl8JG6Pt63euojICcMY0ws4C9gLrKqjyv1HrBcaY+601j5xDKfb2dSKs2bNIicnpxlN68/J9uD9999vozPpeoh1uhakJl0PUqXtrgXQ9RD7mnM9HDhwoFVi0FXSQaxfU30BdeqdWn/FhY9Ulyd9GY7jKdqdRTv55sffxBfyAXDpgEu5Y9QdzWojWFE9nK81GhJKpIoxhssGXsbInJHcM/MeNh/ezMDMgQzKGhTt0I5PYgZMvwemfA2WPgFz/wpFu51922ZDeQF85bOohhhLPCnxjL5xONZaStYfYutbW8jYX4GLcC8KryHX66Js7h4WfbKLss5J9JzQhU7DMulZx2TdKVnZTLrkSiZdciUF+/awedF8Ni2ez+71a8E6v4NLCg6x4oO3WfHB28QlJtF37AQGTJhMnzHjSUhOaeOfgIhI+2OM8QJPAvHA96y1wRq7VwBfBD7FSWbkAhcCPwceN8YUWmtfb9uIRURERETajhIWHcTBHcWkh8vDR3aqu1LZIVgRHkM+LhXGXH9c50yLT6Nfej+W5i9lctfJ3Df1Pkwzn4oOlvurV9zHFY7ICWlA5gCeueAZ/rz0z9w8/Ga8rhPkafe4JJjyFZjwRWduizl/hoObnB4WNX+PWAu+EohvIBHbARhjSB2Szagh2QSLfeyfvZOSeftI8DvdLpJchqGJbiiupOTD7Wx7dyszDZT1TWHajL4MH5x9VJuZud2YcNHlTLjocsoOF7J5yUI2LZrH9lXLCfqd382+8jLWz53F+rmzMC4XPYYMp9/4SfQfP4nMrpr3QkTkSMYYF/A4MB34p7X2yZr7rbWvHHHINuBBY8xa4APg/4DmJix6NrI/F1gEMH36dHr0aGwEqRrmfdzMUCQaZsw4vl7zTabrIebpWpCadD1IlTa7FkDXQzvQnOth165drRKDEhYdhLvAubnkxzKuvoTF0v9CIDz22NgvOEO0HIf0+HT+OeOfPLziYW4Zccsx3UgNVPoiZQ0JJVK3JG8SP5z8w6O2rz+0njUH13DpgEubnSyMGZ44GHejk0Bd/w4MPq/2/m2z4dnrYNTVMPG2Dj9BN4A7NY7c8/tjz+1HxYYCDs/ejX9zIVVXQIrbkOJ20xewu8o4/M/VvGtDHO6axNAZvRk1qstRbSalZzDyjBmMPGMGvopytq1YyqZF89mydGFkwm4bCrFzzSp2rlnFzCf/TWa3HvQbN5H+4yfRffAwXG5lnUWkYwsnK/4DXA88BTR5sjhr7UfGmM3ASGNMmrW2qBnHNviXZM3/R0hMTCQxsYG57qRd0mcqVXQtSE26HqSKrgWpqTnXQ2tdO0pYdABlRT5SwlP5JecmERdXx8ceDMDCf4VXDExq3tBN9Ylzx/Gtcd865uODFdUJC/WwEGm6Un8pd8+8m+1F23lry1t8e8K3GZ7djm/mu9ww9MKjty/6t9PDYvF/nKXXVCdxMfQi8DQwX08HYFyGxCFZJA7JIlBQQdnSfErWHCSwu4Sq/K8xhgwPZOCGA5UEn17P4ifXcSgjjs6Tcxl1Wm9cntrZ4riERAZNnsagydMIBgLsXreazUsWsmXJQgrz9kbqFezZxZI9u1jy5iskJKfQZ8x4+o2fRJ9RY0lMPb6EuIhIexNOVjwG3AQ8C9xirQ01s5kDwAAgCWhywkJEREREpD1RwqIDyNt6OFKudziodW9CUfjhq4EzILv/MZ3rxQ0vcnrP08lOPHp4kWMRrPRX5yk87fQJcZEoeH/b+2wvciZNXrBvAde+eS3n9z2fb479Jj1SmzHUQyyzFlK6gDcZ/M5T/uyY5yzJnWDsjZgR10U3xhjhyUwg7cxepJ3Zi1BlkMpth9m7aB/l6wtI91ffL3MbQ67bkFscgA93seODXVSkxhE/IINOk3NJ7pNW60lct8dDrxGj6TViNKfddBuH9uxiy5KFbF6ykD3r11J1L66itIR1c2aybs5MMIZOvfrQc/goeg4fRY+hwzX3hYic0I5IVjwH3HjEvBVNaSMZGA6U4iQuREREREROSEpYdAB5W6sfwOrSt56nWuNSIHck7FvljBt/DF7Z+Ar3z7uff6/6Nw+d9RB90/seUzs1hSoDkYSFcSthIdJUlw28jLT4NP6w+A/sLN4JwNtb3+aD7R9w3ZDruGPUHaTHpzfSSowzBs7/HZzxY2eei0X/gv3rnH2l++GzPxI/589MSh3Nuq6XRzfWGOKKd5M4OIt+g7MACJb42DZvD/sW7iWryE9qjYSEx0BKiQ+W51O4PJ+91nIgyUPi0CyGndGbuJzq7p/GGLK79yS7e08mXnwF5cVFbFu+hM1LFrJtxVIqy8JJJWvZv30r+7dvZenbr2GMi859+9Fj2Eh6DR9F9yHDa89TIiLSjtUYBuom4AXghvqSFcaYVKCrtXbDEdsTgX8CqcBj1tpA60YtIiIiIhI9Slh0AHnbmpCwGHgWDDgTdi2CHhObfY55e+bx83k/B2BXyS4W7VvUYgmLCI8msRBpjjN7ncn07tN5fsPzPLLiEQoqC/CH/Dyx5gle2fQKt4+8neuHXk+8u50PnZSQBpNud4aC2j7XSVysfR1CAYwN0bVoGRtzL452lDHLnRJH/7P70P/sPgBsXpnPhg+30aUwQHplgPiaY5sbQ8/yICzdT/7S/RQBxdnxdJ2US/cJXXEnV89VlJiaxtBTTmfoKaeHh45aw5Zli9i5eiX527Y4PWQAa0PkbdlE3pZNLHnzFYzLRac+/fAlJJPYuSu+8jKNqSoi7dl9wM1ACbAB+HEd80q9aq1dDmQD64wxi4C1wD6gC3AW0ANYBXy3bcIWEREREYkOJSxOcP5AiB0bC3EBcaleUjIT6q9sDPSc1OxzbCzYyHc+/Q6B8MNeNwy9gasHX32MEdcW9PmpmrzC1JOwsH4/Bc8+y8HHHidUXIynU6fqpXPnSNnboztJY8e2SFwi7YXX7eULQ7/Axf0v5rHPH+OJNU9QGayk2FfMH5f8kX2l+/jB5B9EO8yWYQz0meYsxXmw9AlCi/9DUSCOgqR+teuueA4O73Qm687oFZ14Y1T/UZ3pP6ozAP7KAPsW51OwLJ/ArmKyrMVT40ZbGpB2sBLe2c6et7dR4DZUdEmi/yk9yByRgyvO+f3tDB01il4jRgFQUVLCrrWfs3P1SnauXsn+HdsibdpQiPwtmwAoXLOCf898j859B9Bj2Ah6DhtB98HDSUjREFIi0m70Cb+mAD+qp842YDlwCHgImAScD2QC5TjJi78CD1pry1svVBERERGR6FPC4gS3au0BXEHnKdb9cbbF288vy+drH32NEn8JAKf3PJ17JtzTYu0HfQEiCQtv3QmL3ffeS/E770bWfSUl+LZuPapewogR9H3xhVrbdnz5y/h37cbExeGKi8PEx4eX8Hqcs552wfkkT6pO5gQOHiT/939wnhC2Iay1ELLV68EQhEJYGyL3vvvwdu4cObb444858Pjj9DhwEKxl7/+ew2WMc2wohMVpy9O5Mz3//mCtePN++zvKFixwbswaAy4XGDCY6m3GkHrG6WTfdlvtn9Pd92D9fnC7MC638+r2YLzeGouHtAsvImHwoOr3euAAxZ984ux3ezAeN3g81WW3G+PxYjxuEkePxniqf6348/MJFhTU9/FGuBITietV+6axb9s2QpWVjR7rycnBk109Z4oNBKjcvLnR4wDievXCVePJ7eDhw/j37auzrq+igri9e8FafBs3kjhqVK39lVu2Ejx0EBsKha+FECYhgcQRIzBeb51ttqXUuFS+Ne5bXD34ah5a/hCvbnoVj8vDTcNvinZorSO1C5z6XSonfIWFbz9/9BBD8/7mDIH38S+g98lO4mLYJZCYEZVwY5U33kPPad3oOa0bABs3F7D0w23EbSumu9+S7TbO7y+cIaGyQsDeMsqf30Dp8xvwpXjx9ksne3wXkgdkRob2S0hJYcDEKQyYOAWAsqLD4QTGKnauXsnBXTsiMVhryduykbwtG1ny5iuROTB6DBtBz6Ej6T50OElp7Xx4MxE5YVlrbwFuaWLdIuAbrRmPiIiIiEisU8LiBLdqRX6knNGzjidS174JqbnQY0Kz2y7zl/GNj77BvlLnBu/w7OH85pTf4Ha5Gzmy6ayvejLY+hIWmdddF0lYeHv2JHDwILas7Kh6nhpJgyr+HTvrTG4cKX7AgFoJi1BZGYdfeaXR4wBCd99daz2Ql0fFwkUkhdfruyXv7d79qG2+HTuoWLOm8XgHDjxqW/GHH2KbkABIGDmyVsLCt307+35yX6PHAQxesrhWwqLgqac5+OijjR6XNGECvZ96sta23d+5u0nvtdNdd5HzlS9H1oPFxWy95NImxdvnxRdJHDE8sl4yaxZ7vntv/fXDr/ueeJL0eXNr7Tvwj39Q9MYbRx3jzsoi7bzzSL/4IhJGjaKOYSDaVG5yLj+f9nNuGHYDqw+spntK7evspQ0v4Xa5Oa/vee1/qCgAl4fyuJza2w5tdZIVVbZ/5ixvfxcGnwsjr4J+p0O8nuI/0sD+mQzsnwlApS/AnM92kbdwH5kHK+lhIaNGTzgXkFDih5UHKFx5gHxrORDvxvZOpf/0HmQPyIx8H5LS0hk0eRqDJk8D4GDePt557hkq8vfhLi/m0K6d1UHUmANj2TvOdy67Ry+6DhxCbv+B5PYfSE6vPrg9+l8cERERERERkfZGf82f4PZtPUzVLbdBQ7Nr7wz44K3vQEke9JwMt7wF7qY9CR4MBbl31r2sPbQWgG7J3XjwzAdJ8iY1cmTzWH/1HBauOA/B4mKChYXE9ewZ2Z48aRI5X/86KaedSuLIkU58/8/eXYfJVV4PHP+eWfdk454QxbW4u7bQQrEiLdACRUspUKGFYhUqtIXCr1jxIkUKFHeKOwQS4i6bdZ+d8/vjvLN7d3Y22YQkKzmf55lnZq/Nnb135s68533Pqaklvmwp8WXL7LZ0GVnDh3fYfiwvj1hhIdrYaKMPOt2RlNEpshr1NNZk3eToidTJsRhkZoaRHJFb6nIZHdfVRKLDtLRPnTIaYKX/l1Q9YCTBepHufx5LH4hoWbGC8rvuovyuu8gaM5oB3zuF/kevnZRpX8Wk/pOY1H9Su2mNLY1c9/51rGhYwR/f/SNHTjqSoycfzeD8jsG+Xq10HJz7IXx8v6WGKptu01sa4bNH7JaRA+N2g0P+AP3HdO/+9lA52ZnsvfdY2HssAOWVDfzvxbnkzKyiZEUThQ1xCjPa3hfZIgxvSsD0ShqmV/KlKkuyY8RHFrLR7iMZvXFbYCm/uISiMeMpGjOe/fffH21uYsHnnzL/s0+YP/VTls6Z2e59WDZ/LmXz5/LJC08DkJGVxaAx40IAYxJDx0+k//ARxNZiQN0555xzzjnnnHNrnwcs+riW5dajPoHytW2Gtp/52cMWrAAoHNLlYIWqcs1b1/DS/JcAKMoq4vp9r2dg3sBVrLn6Ek0trY+b585ixoGXkD1yJGPuvaddT/VBZ7cfPZ9RWEBG4Thyxq288Pe4hx5sfayJBNrUhDY2kmhsbH2sjY1kDhnSbr2sIYPZ6PH/WPBBQiAhpGOSWMyCDbEMJCZk9O/fbt1+3/om2fvvx3PPPw8i7LvffuTl54f0TrLSHvgj/3Jd2um6igAGwITnnoVEAlpaLHjR0oK2tKDxONrUjDbbLWdS+9EZ2eM2YtgVvybR1ARxW4eWOBoP67bEW6dLRvvGwNzNN6Pft1fdOJ89pmODcNH++5G72WarXDd3k43b/R3Lzu7ScwJk9u/Xfj9Gj+503XhLnPnz5gMwevLkDvMLdt+djIEDw7kQg5jQNGcONc+/0DqypXnOXFrKV3Rp37rDqwteZUWD7d+KhhXc9NFN3PLxLew/dn+O3/h4thi0xSq20Iv0Hwu7Xwi7/RgWvg8f/Qs+eQBql9n8lkaY9QoUpHyu1a2A3BLwhu8O+pfkcvA32oJgDbXNLHx/KcveXULTvGqGxYTcSGAvT4SxzQqzqmHWVD5LKLVFWZRMGUDRFv1QbcvklV9cwsTtd2bi9juHbdew4PPPmD/1E+ZP/YQlM79sF5RtaW5m8ZfTWPzlNOBxALJy8xgybjxDwiiMYRMmUTxoSLePenLOOeecc84551wbD1j0YRVVjRQ1KiBU5wglRZH0Lqrwxg1tf+9wepe3qygtaoGETMnkj3v9kfH9xq+lvU55rnhbA1Td66+SV1ZGfVkZVf/5DyWHHbZWn0tiMSQ3F3JzWVVTpGRlkTN+zV6zZGURy8tDw2gEycpql0ZpjbaZrF+xEllpUmJ1RdaQwfQ78sg1Wrd4v/0o3m+/NVp34OldPyejYgUFDLv8sjVaN2/LLcnbcsu08+rr63nvaeu9vdX++3eYX3LIIZQcckiH6S01NVQ//QyVjz1K3ZtvUXzooe3mN86cydLf/JaSb3ydov33/8rnwlex96i9ueOgO7h76t08M+cZ4honrnGemPUET8x6gi0GbsFxGx/H/mP2J6uLAc4eTwRGbGO3/a+AWS/C50/AtKdg8MaQXdB++Sd+DDNegIn7w6QDYPzeXveiE7kFWWy06wg22tXSjs2dX8l7z8+DGZUMroszJCZkRQt4x4Ti2ji8u4T4O4uZqP0ojyV46eP3KRhZxLgtBjFsUimxgixyCwoZv+32jN/WUvU1NzawdNZMFs+YzuIZ01gy80vKFy1otz/NDfWtAY6kvKJiho6fyJDxkxg2wUZi5Jf0W/f/HOecc84555xzzqXlAYs+7K13FxPDGoMyB+W2nzn/HVj4nj0eujmM2bnL241JjF/s+AtGFY2if25/dhi2w9ra5XaaFy6kYeo0KLSirMQtNVHRAQeQt/U26+Q5nVvbMgoL6ffNI+j3zSOIr1hBZmlpu/mVjz5KzUsvUfPSS+RuuinDrryC3ClTumVfRYStBm/FVoO3YkntEu774j4emPYA5Y1WOP2j5R/x0SsfcfMnN/PgYQ/2vZ7pGZkwYV+7qUJDZfv5Lc3w5bM2/aN77SYxGL4NbLQnbLSHpdfL7AO1P9aB0SNLGH1iW3Hspctq+fi5uTRPK2dgTZzBQrsC3iUilBCDmhb4vAI+r2AR0IxSlxWDkhz6jSqmZGQhGQPyGFw6luHjJyNZFnJuqK1hycwvWTxjOktmTGfxzOlUL1/Wbp/qq6uY9cG7zPrg3dZpRQMHMWz8pDASYxKDxowlr6h4nf9/nHPOOeecc8455wGLPm361OWtj4duVNJ+5pvR0RVnrLJ3fioR4bubffer7F6nEvX1lN18C2X/+Actmx1KsghH1oB+jL7s9nbFr53rTVKDFQB177zT+rjh00+ZdeRRDDjtVAaecQax7Oz1uXvtDCkYwjnbnMP3t/g+T856krum3sUX5V8AsPuI3TsEK6qaqijO7kONuiIdR040VFpg4svnoanapmkCFrxjt1d+D5l5MHpH2PeXMHzr9b3XvcrgQQXsc0xbSreG6kbK3llKzWdlyKJa8uPp6+5kIZQ0KyxvQJc3UPH+0nbzpTCLrIF5ZJbm0r+0PwNH7c5WW+1PZmku9S21LJ01g8UzLF3U4hnTqa+uard+9fJlVC9fxrQ3X2udll/SjwEjRlE6cjQDRo5iwAi7zy/p1/cCd84555xzzjnnXDfygEUfVjm/lmSYYostB7XNqFpoRWUB8gfCZt9a5bbmV8+ntrmWyaUdc/evTbWvv87Cn/2c+KJFAEisLe3MwO+fQsH2q65p4FxvMuaf/6TujTdYcvXVNE7/EuJxym74O9XPPMPwK64gb6utunX/cjNzOWLiERw+4XDeXfIud39+N8dMOabdMvOr53PYvw9jx+E7cvC4g9ln9D7kZ+V30x6vQwUD4dv/hHgTzH3d0kbNeAGWTW1bJl4PM1+AzGvar1u1EJpqYcCE1Q4Qbyhyi3IYsdco2GsU9fX1PPP409Qty6SfDCO+pJ7c2jglLVAUE/JjbaMxUmlNM001zTTNruo4MzNGfmkOk0q3YpNNdyRj1xwaMxpYUb2IRYums3i2pZNqbmxot1pdZQV1lRXM++zj9vtcWNQugFE6YhSlI0ZSVBrq2TjnnHPOOeecc261eMCij0okEmRVNANCoyibT44Ujn37ZkjE7fF234Ws3LTbSKpsrOSHz/2QxbWLuXbPa9l1xK7rbL9jRUWtwQoyM8kc0BZoycj1NCuu75FYjIKdd2bsgw9S9vcbWX7TTRCP0/TlDGYfexylJ57IoHPPIZbfvQEAEWG7odux3dDtOsx7ctaTxDXOqwte5dUFr5Kbkcteo/bi4I0OZpfhu/SdehdJmdkhBdSe9nf1Ypj1Msx80W6JFhiUEtx951Z4+bdQMMhGYIzeGcbsBEM2t1RUrgPNgrzhcfbYf2Py8vIAaIkn+GRaGe99vIyKmZVklzUwoMnqX+THhIIY5KcU924nniC+tJ740vp2k/OB8UxkYuEmZOyQQ0tugtqWSipqllBWMZ/FS2ewonwBirZbr6GmmgWff8aCzz9rNz0zJ4fS4SPtNmKkjc4YPpJ+w0aQmdXH3g/OOeecc84559xa5K0kfVRlWQP5CWuwaemXTUZm6OnZ3ADv3mqPY5mw3Skr3U5zSzM/evFHzKycCcC171zLjsN2JDO2dk4dVW2XTiNv880pOfxw4mVlDLnkYqbe+S7U2bzMXG/kcX1XLDubQeecTdEB+7Popz+j4dNPQZUVt99O7ZtvMu6hB3tsj+38rHyGFgxlce1iABpaGnhy9pM8OftJSnJK2Hf0vuw+cnd2GLYDBVkFq9haL1Q0FLb4tt1UoXZ5x1EUs16y+9plMPUxuwFkF8Ko7WH0TnYbuR1k5a3f/e9FMjJjbLnJILbcpC2Y3RxPULaolsqFtSyfV83MeTUsnV1FbnMLBTEhP6MtkFEQRmdkdDI6I1HTTKLG6iXlkUUeIxnGSDbrtyOUChQKTVlN1LVUU1m/lOUr5rG8Yh61zRU0a1PrduKNjSydNYOls2a0275IjJLBQygdMZJ+Q4ZRMmQY/YYMpWTIUEoGDSGzG9PAOeecc84555xzPYEHLPqosrk1rY9332lE24wvnoC6Mnu86RFQPKzTbagqv/rfr3hr8VsAlOaWct3e162VYIU2NbHijjupeeEFRt9+G5KR0Tpv6OWXteXub2krhJqR6w05ru/LnTyZsffdy4rbb2fZdX9BGxvpf/S3e2ywAuD4jY/n2CnH8v7S93li5hM8NecpKhutYHVlYyUPTn+QB6c/yEHjDuK3u/+2m/d2HROBwkEdp298GOQUw7w3oTGSqqipBmY8bzeA7X8AB0f+R6pt23VpZWXGGDqqiKGjipi8w1DARhnOmFPFx58sY/rMCqoX15NV1UxBi/0fc4TW4EVqUCOvs9EZCYUqJZtMsulPP/ozpmAyhBhcIktpymykrqWSitqlrKhcSHVzObXxCuriVSiKaoKKJYuoWLKo4/ZFKCwdQL/BFsCwgMZQC2gMGkJecYnXy3DOOeecc8451+d5wKKPWjyrsvXxkHGRQribHmF52N/4uxXbXom/f/R3Hp3xKAA5GTlct/d1jCoa9ZX2S1WpefFFll7zG5rmzAGg4oEH6X/0t1uXaVdoOFJz1QMWbkMhmZkMOOUUCvfem4r7/kW/o49uN1/jccjI6FGNlzGJse2Qbdl2yLZcvP3FvL7wdR6f9TgvznuR+ril30lNJ1fXXMdv3v4NOw/fmZ2G79S3inan2vlsuyVaYOlnMOd/Vgdjzv+gZnHbcqN3bL9e+Wy4cQ8YvqUV8R6+NQzbCvqP9SDGSsRiMSaO68fEcf3aTV+8tJYPPl7K3FmVzF1UR2ZNnOJGpamupW1dID9lREZBRlvKqcxO/u+xZiG3OZdccinNGsJGAzdvnacoTRmN1LZUUlm7lKrGMmrjldQ0V1Abr6Ap0QCq1JQtp6ZsOfOnftJh+5nZORQPGkzJoMEUDxpC8aDB4W977AXAnXPOOeecc871BR6w6KOWzmrrwTtkbKQRUATG7W63lXhsxmNc/8H1tgrC1btdzZaDtvxK+9Q4YwZLrr6G2ldfbbc/zfPndbqORAIWmXkesHAblpxx4xhy8UUdpi++4grq332PkiOOoOSwQ8kclKZHfzfKyshij1F7sMeoPahrruPtxW/z6oJX2Xn4zu2We3vx2zw0/SEemv4QGZLBFoO2YKfhO7HdkO3YfODm5GauvL5OrxTLgKGb222H79sIivJZMPcNmPM6jNml/fKLPoDGSquRMevltum5/UIAYysYtiUM2cwLenfB0MEFHLjPuHbTVJXaikbKFtayYmEtL729gPJlDeTXJ8ii4/8zO3V0RnhcmCHkCmmDBoKQ05JLDrmUFgxpHZWR1CJx6rSG6sYVVNUvoyZe0RrQqItXkiBBvKmRFQvmsWJB+mtmZlY2RYMGUzxwEEUDBlI0YBBFAwdSPGAwRQMHUjRgIFk5ffA95ZxzzjnnnHOuT/GARR/U2BRn8RwLWBQPyiOvaPUa+t9e/DaXvn5p698/2vZH7DdmvzXen5bKSpb97W+U33U3tLT1Ys3bbluG/vSn5G6ySafrSqKt4ccDFs5B7ZtvUXHvfQAs/e1vWXrttRTuuislRxxO4V57EcvpWcXp87PyW4MXqV5f+Hrr4xZt4f2l7/P+0vcByIxlsumATdlmyDZsP3T7DqMz+gwRKN3Iblsd13F+Ux0UDYPqlBRCDRUw8wW7AeSWwEVz2i+zYqYFNvJL18We9xkiQmH/XAr75zJm0wFsvd9owAp8T59dwfQZ5SycW03l0jqay5vIrmuhqQXKW4CUItxCmtEZMSEvjNLI7iSglKGZFNGPopx+DM/ZqN08RWmSBmpbqqiqX051U1kYmWEBjcaEFXqKNzdRvnA+5Qvnd/pac4uKKRowsDWoUdh/AIWlA+xxqT3OzvUaKs4555xzzjnnuo8HLPqgdz5cisatEWVFsu2yJQ4Zqz7cMytmcu4L5xJPxAE4evLRnLTpSWu0H9rSQsX9D7Dsz3+mpby8dXrmsGEMufDHFB100CrTV4i2zY9le9Ft57ShnryttqL+gw9sQksLNS+9RM1LLxErLqb4kIPpd/jh5G6xRY9PD/Oj7X7EHiP34NWFr/LqgleZVTmrdV48EefDZR/y4bIPeWfxOx0CFjVNNRRmF67vXV7/tj7eblWLbLTFwg9g4fuw8D0r4J00ZLOOoyv+cz7MfNECHkM2tdvgTWHQZBg4CbLz1+ML6X0yMmNMmVDKlAkdAz5lFfVUL22gsbyRiiV1lC+uZdH8aiqX1qMJoTahLEsJZgBkCe1GZrQWA88U8oBYZ6MzNI+cWF7a0RkJaaFB6qmNV1BRt5TqRgto1MQrqYtX0qLx1mUbqqtoqK5i2eyZnb7u7Lz8tgBGCGgUlg6goH9/CvuXUtCvlIJ+/cnI9K+QzjnnnHPOOefWPv+12QdN/aStEStvaOgp+ewvYf7bsMMPYOOvQ0b6xv9Pyz6ltrkWgN1G7MbF21+8xo2eTbNns/jyyyFheZ0kN5cBp53KgO99j1he13pwSkIsoTggmT236LBz60vhHntQuMceNM6aReUjj1D5yKPEF1nv+0RVFRX33EvFPfeSPWE84x58sMeNuIjKychh5xE7s/OInfnJ137CgpoFvLP4Hd5b+h7vLXmP2VWzAdhm8Dbt1lNVDn/kcDIkg00HbspmAzdjswGbscmATfpuEKN4mN0mH2R/q0LVQgteLPnU5qVa8qndVy+y25fPRmYK9BsNg6ZYaqoJ+67zl9CXDOiXx4B+Ha9jLfEEsxdU8eWMChbMq6J8SR0N5U3EauPkNymoUNkClS1KutEZeSGAkRrUyIsJuZ0UA49pBvlaSH6skEGFIyHlLRDPjNMQq6M2XklVw3JWVC2ipmkFNfFKGlpqOmyvqb6OsvlzKZs/d6X/g7yiYgr6l7YGMXKKiqhYtJiswmISkdGUzjnnnHPOOefc6vCARR+0fHY1ReHxlM0GQmMNvHeH5UFf+AGM28MKb6dx2PjDKMkp4eaPb+b3e/yezNianyI548fT7+hvU3HPvRQfcgiDf3wBWcPSNKqtRIwMABLagnTSWOPchihn3DgGn3ceg845h7o336Ty4YepevoZtN4KXGcNHtIhWNHw+edkb7RR+8L2PciIwhGMmDCCb0z4BgDL65fz/tL3GV00ut1yC2sXsqRuSevjZ+Y8A1hP9LElY9lswGatgYxxee3rFfQZIlAywm4bH9pxfrwJNvuWBS0Wf2wppNpRqJhjty2+3X7WilnwxIUwcGJIVzXO7ktGd2mk3oYsIzPG+DH9GD+mX4d5zfEEM2ZXMHdOFcMyMqkua6CqrIHqsnoWLaoho0mpS0BdIhnIaB/QyATyM9KMzggppzI66VyQGc+kkGIKKWZI9igYuHXrPI1BS24LjRkN1CWqqGkqp7xmCWUV86mqX0Zcmzt9rfXVVdRXV7F87uwO817PyWS/U85Y1b/LOeecc84555zrwFse+qIVTQDEUbbbcgh8eJsFKwC2OKrTYEXS7iN3Z7cRu63WyIpEbS3l995H6YknIFltozcGnXMOJYceSv622672ywCIqY2qaMF7azqXjsRiFOy0EwU77cSQX1xK9VNPUfnww5QccUS75bSpiTnHHY8mEuRv/zUKd9mFgl12IXv8+B6bOmpg3sC09XOqm6rZdsi2fFb2GfXx+tbpijKrchazKmfx2MzHALh7/7vbrVveUE5MYpTklKzbne9umdlw0G/scXI0xpJPYdnnkdsX0FRjKaKilnwKXz5jt6hYpo3KSNbcKN0Itv8BxHz0W1dkrSTFFEBldSMzZ1cyb341yxbXULm8gYbKJqiNk92YIC8hVLVAVZrRGQC5yWLgaYIanY3OkARk1mWQSQEFFDCIYYzL2QSGhAXyYiTyIZ7VREOsPozSKKOidjErKhdRW15GSzzeYbufPPdftj/sCEoGD13Tf5dzzjnnnHPOuQ2UByz6mCXLaikKHSJr8mLk52TAmze2LbDD6R3WmVY+jUn9J7Wb1tUGTE0kqPrPf1j6+2uJL12KZGZQelJbzYvM/v3JXMNgBYCEfFAJD1g4t0oZhQX0+9Y36fetb3aYV//hhyTqrDhv7cuvUPvyKwBkDhlCwS67ULDzzhTsvBOZpT2/QPOU0incduBtxBNxZlbO5NPln/LJ8k/4tOxTvij/orUGT15mHmOLxzKTtnz9d069k5s+uomhBUOZ3H8yk/pPar2NLh79lUaV9VjR0RiT9m+brgqV86EopVG5bHr67STiVsh7Rfh/5pXCjim96F/7swU8+o2B/mPa7otHQCxj7b2mPqikKIetNx/M1psPTju/praJ8mX1UN9C9YoGqlc0ULW8nrc+XUZmQ4KWuNLQAmVpioFnEKmdkdEWyEgGNTobnUF9glg9ZJNJNkUUU8QwRgJbQomQMSaHWEkWibwEdbF6Pvn4fyyZ/zHVzWX878F7OfCM89bif8g555xzzjnn3IagD7bMbNjeem9x6+OcIXkw4/m2xqcxu8LQzdstf8/n93D1m1dzwXYXcOImJ65WT+v6jz5iyZVXUf/hh63Tlt94E/2OOWat5c3PSKaEIrFWtufchipWVETJEUdQ+9prxJcubZ0eX7KEyoceovKhhwDIGjOajR5+uMt1ZrpTZiyzNdhwxEQbUdLU0sS08ml8svwTqpuqOwQgpq2YBsDi2sUsrl3MS/Nfap2Xk5HD+H7jmdBvAruN3I0Dxx64/l5MdxCBfqM6Tt/lPNji6LbgRLvbLBuVATbCItWXz8GslzpOj2VCyUgLYPQbBZMPhimHrNWX09cVFmRTWNAxnVtyDFJLPMG8RTXMX1jN4sW1lC+vp7q8kcaqJhJ1cbKzslhW00xLY8fraU5ydEYkqJF8nNdZOsYWpaWsgZayBtsGsC07wMgd+Lj8ZT576Xm2/8ZRlA4fsZb+A84555xzzjnnNgQesOhjZn5e3npQR4wvgTd/1zZzx/ajK16a9xLXvHUNivL7d37P5gM3Z5sh7YvbptO8ZCnL/vAHKh95pN30wr33ZshPLlyrRX5jYgELFQ9YOPdV5E6ZwvCrr0JVafryS2pee43a116n7u230YaGdsumBivKbr6Z5iVLyNtiS/K22pKsESN6bBqp7IxsK8I9cDMA6uvr283feMDGVDVVMa18GjXN7QsON7Y08lnZZ3xW9hklOSXtAhaqylnPn8WwgmGMKR7DmOIxjC0ey/DC4X1vVIYIFA+329hd289ThdplFrxIpBn5VjEn/TYTcSifbTeA4pHtAxbNDfDnLcNIkJFkFgxlo6W11Gf3J7agFAaOgcIhkNlzi8h3t4zMGGNHFTN2VHGny6gqjbVxaioamD23ik9mrKC6opEVVU0srY1DfQuZTS3kNkIG9h6PYaMzkvUyUkdqZKb5LNik3y7Mq/2C/z1wN4ecc+G6esnOOeecc8455/qgPtbK4moW1tIvPP7auHr4z7P2R7/R1qM1+KzsMy58+UISaoGA7232vVUGKxKNjay47XaW33gjGlLLAGSPH8+QSy6hcNdd1uZLQRMJMsIp6iMsnFs7RISciRPJmTiRASefTKKxkfr33qP2tdeoe+ddsieM77BO5aOP0fjFF5RzBwAZpaXkbr4ZuZMmkzNpEjmTJ5Ezbly7+jU91ZlbncmZW52JqrKwdiHTVkxjWvk0vij/gunl05lTNQdFGVs8tt16y+uX8/L8lztsL0MyGFYwjBFFIxhZOJKRRSM5fMLhDMxbea2gXksECgfbLZ0zXoeKuVAeCnon7yvmQPnctnpKqSM7qhZAzWK7LXiXLKB1POCsv7Qtlz8AvvtfGBRJY1g2A5ZOtdRWhUNs3zywkZaIkFuYRW5hFgNHFrHdzulHP7TEEyxeXsfCxTVUrmhgRG42dVVN1FU2UVfVxIezK6ivaiI7rhTRFsgYmhVjZHaMDMlgmwH78tLr97PD4UcxcPTY9ftCnXPOOeecc871Wh6w6ENUldyqOCDUx5SNFt3VNnP777fmD19cu5iznjurtVjtAWMP4Nxtzl35tpuamHXEN2ma2ZYLPlZczKCzz6b/MUevk4bK5uYmMkLPZY11LDDqnPvqYjk5rUW700nU19P45ZftprWsWEHtSy9T+1KkAT8ri2GXX06/Iw5vnaSJBIj0yNEYIsKIwhGMKBzBXqP3ap1eH69nbtVcBuQNaLf8nKr0IwdatIX5NfOZXzOfN3kTsM/UqBfmvsCjMx5leOFwhhUMY1jhMIYVDGN4wXBKckp65P9njWUXwOCN7ZZOfTlUzLPRG1ENFVA0DKoXk66gdKu6Msjr337aF0/A0z9vPy23XwhgDIbCcD9wEmx7UvvlVC0I49rJyIwxYmghI4YWpp0fPcOra5pYsLiGefMreOrZaRzblE9+TBiaN46ReZN4/f67+foFP10/O+6cc84555xzrtfzgEUfsnBhLblqDS/xYiH20T02Iysftv4OADVNNZz53Jksq18GwFaDtuLKXa8kJrGVbluysyncc09WzJwJsRj9jzmagWefTWb//itd76toqW9qfaziAQvnukMsL49Jr71K/ccfU//Bh9R/9BENH31ES2Vl+wWbm8ka0r7Xff0HHzLvBz8gZ8IEsseMIXvMaLJGjyZ7tD3OKO48dU13ycvMY3Lp5A7Ttx2yLS8f/TJzquYwu2q23VfOtmBF9fzW9FIxiTG0oH0R64+Xf8yzc5/t9PmGFVgAY8tBW3LGVu2LWDe2NJKT0YdGC+T17xhwABixLVzwOcSboGoBjctm8OlrT5HbXM6k4cVk1i2zYEbtMhtlEVW9uOP2Girstuzztmkjv9YxYHHrwbD8CygYZLf8AW2PCwbaLX8ADJgIRUO+6qvvk4oKs5kyoZQxI/KoKf+YV1/OYv8cq7Wx9YB9ePLt/2PJzC8ZstGEbt5T55xzzjnnnHO9gQcs+pDm5W0N/NtvXgSyG0x7CrY8FvL605xo5oKXLmB6uRXhHl00muv2vi5tY1i8vJxYXh6x3NzWaQPPOJ3mBQsYeOaZ5E6e1GGdtS3eEAlY+AgL57pNRr9+FO62G4W77QbYaK74woU0TJtG47TpNE6bRuO0L8iZ1P5zoXH6dBLV1dS//z7177+fdrtZY0aTM2ECw6+8cr28ljUlIvTP7U//3P5sNXirdvNUlaqmKuZXz2dZ/TKyYu1HnC2oWdDpduvj9cysnMnMyplp5x/zn2NYWLOQwfmDGZQ/iEF5g+xx3qDWvwfmDWRIwRDyMnt+ofRVysyG0nEk8oYy7/NaAMbtuz+ZKysCP+lAyOsHNUsteFGz1FJLVS+BeKSGSWGagEPNEhu1UVfWPriRar/LYZfISMTaMrj7KAtm5A+AvFLIL7VgTH5p+78Lh0LGhvF1KxaD+Ga1LJmayZDMGPmZRWzSb2dev/8ujrjol929e84555xzzjnneoEN4xf0BqJsQQ2EIpkTtx0PU+6z3N6ZOagqV75xJa8vfB2AkpwSrt/3evrntu/pqs3NlN97H8v++lcGfPdkBp7eVqg7o6iIkX/+0/p6OcTrGtv+WPkAEOfceiQiZI0YQdaIERTttVfnCyZayBw6lPjiND3ggZaKCloqKkhUVXeYN//882n49DOyhg0ja/jwcG+PM8O0WE7PGHkgIpTklFCSU5J2/pW7XsnZW5/NotpFLKpdxMKahSyuXczCmoUsql3E4trFNLQ0MKxwWId1l9Uvoy5ex+yq2cyumt3pPly606UcNemo1r+X1C7h+g+vZ0DuAAbkDWi9L80tpTS3lJKcklWOrOs1xu1mt1Sq0FjdFsDIyu+4TL9RVhC8djk013b+HHml7f+uXQYL3u3a/p39HgyI1Ib54kn44C7ILbHUVbklKbcwLb/U0lr1MkMGKi1fG0zLe8vIEGFyydf478e3snDaVIZP6iRVmHPOOeecc845F3jAog8pm18HFIDAkDEh1UpoJFlUs5Cn5zwNQFYsiz/v9WfGFI9pt37Na6+x5OqrafpyBgDLb7yJkiOOIGtI96TBiDe0BSw0o1t2wTn3FfQ/9lj6H3ssidpamubNo2nOXJrmzqF57tzweC7xxYvJHj26w7pNc2y55rlzO91+RmkpA0//AaUnntg6TeNxal59lawhQ8gcPBiNjBLrLpmxTEYWWUHudFSV8sZyEppoN70l0cLk/pNZWreUZfXLqF1Jg/qA3PZpkhbULOCh6Q91unxMYvTL6Uf/nP7ccfAdFGUXtc6bWjaVOdVz6J/T3wIx2RaMycvM6131NkQgt9huAztJR3TiI22Pm2otcFG73AISyVv9Chi2Rfv1GlJSoq1MagqsJZ/C1MdWvd7gTeDM/7Wf9p8fwbIvQmCjGHLC68staXucUwwDJkD/Mem3ux5scvBoPvxoBWNaEsQkg20H7Mdr993FUb+4otv2yTnnnHPOOedc7+ABiz6kYkk9/fIL6D+0gOy89od2eOFw7jzoTn743A85Z5tz2HbItq3zmubMYclvfkvN88+3W6d4//2RjO6LFCQam9v+8ICFc71WrKCA3ClTyJ0ypcO8REMDiZqaDtMzCgqJFRWRqO44+iKpZcUKSBklEF++nPmnR+pAZGYyrrCQeFERS554kpzBg8kYOIDMAQMpOexQMkrSj4pYn0SE0tzSDtMzYhncfMDNrX/XNteyrG4Zy+qXsbRuKcvrl7Okbgll9WUdAtBlDWUrfc6EJljRsILyhnLyM9uPPHhi1hPc9ultHdbJjGW2Bi9KckrYZvA2nLftee2WeXn+y6gqRdlFFGcXU5RdRFF2Ue8IdmQX2K0rDf2jd4BLV0B9RVtKqfoVULfC7uvL2x7nppxj9eVd25/U9QAWvg8L31v1untcBHtFCl031cLvJ0F2IeQUtd2yCyGn0O6zC2za1t9pXxS9bgVUzgvLhOWy8i3/UycyMmOMPWFjam7+mIKMGEPyxjBj1ofM++xjRm2yeddev3POOeecc865DZIHLPoQTVidh/zcZdAS75Aze6N+G/Hw4Q+31qxoqamh7O9/p+z2f0JzW3Agd4stGPqzn5K35Zbrb+fTaGmIBix6eEOXc26NxHJz29XKSRpzxz8BaKmupnnhIpoXLqB50SLiCxeGvxfSvHQJWcPbp1GKL13afkPxOFkVFWRVVFA/bx6RigYU7b1Xu4BF+X3/YvmNfyezdAAZ/fp1esscPIjcSeu+jk+qgqwCCkoKGFsydpXL7jJ8Fx447AHK6ssoayhjef1yyurLKG8sbw1UlDdYw3lGrH1EeEXDirTbjCfilDWUtQZD+ud0LJ599ZtXM79mfofpmbFMirOLKc4upjCrkFM3P5V9xuzTOr+ysZLHZjxGYXYhRVlFZGkWC+ILyJEcltcvZ0DmgJ4X9IhlQMEAu62OvX8BO54BDVU2UqPDrcLuS8d1XLe5rmvPkVPU/u/GamiqsVtN+hRtrSbu3z5gMf0Z+Pf3Oy6XVdAW5MkuJLtgEJSc3Dp7xJRS7i/OZqfaOABbl+7FG/fezcjLrupZx9E555xzzjnnXI/iAYs+aGLZbXDdxZQdcT2lY3Zr1zCQDFZUPvYYS37zW1qWL2+dlzloEIN/fAHFhx2GrKTn5PrS0thMcs8l0xs3nNsQZRQVkTG5iNzJXQsQZJQOYOAPf0h86VKaly6hefES6ubPJ7O2YzqljAHtG5qbFy0kvnAR8YWLVvocuZttxrgH7m83bcGFP6Fp7hwyikvIKC4mVlzU+jijpJhYcTEZxcVkjx1L1tB1X5cgPyufyaWT12jdw8YfxoR+E6hsrKSyqZKqxqq2+zCttrk2bc2OqqaqtNuMJ+KsaFjRGgypaW4/qmZx7WJ+8/Zv0q77p8f+BFgaq/zMfB45/BEG5w9unf/C3Bd4as5TFGQWkJ+VT35mvt0nH4e/++X0W+P/yVqVlQslI2FNBvec+QY010NjlQU8GqtCgKMqMq0aRm7ffr2WJhg0xeYlb2j650gNdjR1MsqpudZu4a0lRSM6vKY9f7gVM658k5FZGeRlFtF/2UDmfPQ+Y7fcZnVfuXPOOeecc865DYQHLPqgIVnTKGuq5jvvXMXW87bhsp0vIysjq90yTbPntAYrJDub0u9+l4HfP41YQUF37HJaicZ4WyYoH2HhnOuC7JEjGHT2Wa1/19fX8/TTT0NLC3tvtx1ZtbXEly+npaKiQ9Fuycgko7SUlooKSCToTLo0Uo2ff07j9Omr3L9B55/PwB+09VaPl5cz8+tfJ6OomFhRIRmFRcSKiogVFpBRUEAscis64AAy+7eNamipqSVRW0usIJ9YXt5aS+G347Ad2XHYjitdpjnRTHNLc4fpZ299NpWNlVQ1VVHdVN3xvrGKmuYaCrML261X3VmjeERCE9Q015Cb2X5Ezufln/P4zMdXuf4mAzbhvkPvazftlKdO4bOyz8jNzCUvM6/T216j9mKPUXu0rhdPxPnPzP/Yehl55GbmkpORQ15mHjkZOa1/Jx+vtQLnIpCdb7fVKcjdbzT88M22vxMJG63RVAONNRaUaKq1x0Upxd8HToZtvxuWrw0jNWrblk/+nd2xqPmgird4fZtShn1UTobEmFS8HW/e9W/GbLG1j7JwzjnnnHPOOZeWByz6mEypJz9rPqeN2oz5tQuYP3MB+Vn5/HzHn7dbbsCpp1Dx0EPkbbYZg39yIdmjRnXTHneupaktYCGZ3T/iwznXi2VkkDloELlpCnwnDTr7LAadfRaaSJCorqalooKW8nLiFRX2ONzSfV7qSgIcUbGi9g31iaoqWpYtp2XZ8k7WaJO//fbtAhZVTzzO4kt/2fq35OQQy8sjlp+P5OcRyy8glpdH1ogRDL/qynbbqnr6aZoXLiSWl08sLxfJyyOWm0csPw/JzbXpuTk2MqSw/T4DZMWyyIpldZh+zJRjVvk6EppAtX3v/rElY7lmt2uoaaqhurmairoKps6cSqM2UjKohIZEA7XNtdQ213aouVHXxTRJqeuBBUpqmms6jPhINaxgWLuARW1zLb947Rddet47D76TLQe1pVh8Zf4r/PG9P5ITyyE7I7s1sJF8nLwvyi7irK3Paretd5e8y6LaRWTHbJmsjCxbJ5ZNdkbbrTCrMO0ImFaxmNWuyCmEos4XA2DcbnZbhcbaGnj2ubYJ05+Fu47ksLG78aSez5YSIyYxxjdMYea7bzJ+u5UHxZxzzjnnnHPObZg8YBEhIl8DLgN2BrKAj4E/qOq/VmMbOcBFwAnAKGAF8B/g56q6dGXrrg2DM2fws8H9+ajZcpOPyBzI8f/LYtl71zPozDNbl4vl5THuoQfbNX71NImmeOtjyfKAhXNu/ZBYjIySEhtJMaYLBZiB8Y//B21psUBHVRUtlVW0VFVaQKKyipaqKhLV1eRttlm79bS5mcyhQ0lUV5NIk7YqKnUEXKK2fUO9NjbS0thoI0Qissd1rIVQ8cAD1L78yipfV//jj2foL9oHvKfvuReSkWGBjZwcu8/NQbLD45xsJDuH/id8p12tj+ZFi6h58UVbLicHyc6y9bOzyc/JYe+sMUhONrGibOLjB/PM4mcA2H/X/cnNze20R/5pW5zGkZOOpK65jrp4Xaf3wwqGdVh3ZNFIGloaqI/X0xC3+8aWxg7LpY7qaIg3rPJ/17puRvt1VzSsYHr5qkfjlOaWdghY/OuLf/HErCdWue6hGx3K1btd3W7a/g/sT01zTbvgRjLwlJVh99mxbE7d/FS2H9aWUmpRzSJu+eSW1mVS10netEVBIUuybDTGw6cDSmz2y+zUv4qlZZdSmJnN4LzRvHvHi2y0zfY9Iv2kcz3Z2vht4pxzzjnnXG/jAYtARPYCngIagHuBauBbwH0iMkpVr+3CNmLAI8ABwBvAg8BE4FRgHxHZUVWXraOXAMCc4jk8W5APquz1RTZnvB6nYcltNGZlUXLYYe16BvfkYAUkAxZ2ikrW2kl14pxz64pkZLQW5u6qnAkTmPjiCwAW8KitpaXKghept9TtZo8aSdF++5KorSNRV0eivt5udXVo+BtVYnl5HZ5X67vW4C657dNmaTxOfPEqijYHRQceAJGAReP06Sy+7PIurTvmvXfb/b3k6qspv/seJCsLyc4O91lIVhax7GzIyiIvK5vSbbdlyE8ubLfu0muvJV5ejmRVsDjrKls309b9aeZkJGszJCuT/O23J3fKFFoSLTS0NFBXXU7N66/TFEtQvLQftTVvIVmZSGYm2TRzxbDv00AzjRKnsiSLOppobGmkId5AY1Mdjc0N1NNEcXZxu/1JaIK8zDwa4g1oZ3UkaKs5FdXU0tSl/192RnaHaVVNVdQ2rzwoBvDNSd9s9/fS+qXc+8W9XXrenxX/zAIWWflw9J0k/nUisZollDZ+wAJ5DjgIgE2ytuSzF19h0733WPkGnduArY3fJs4555xzzvVGHrAARCQT+D8gAeyuqh+E6ZcDbwFXicgDqjpnFZs6CQtW3AMcryHnhYicDtwAXAH8YJ28iOC5AYsZv1A5+bkEk+fXA/UAqCp177zbI1M/dSbR3EJbwMJ7YTrn+jbJyLAi3cXFq14YKNp3X4r23bfT+aqKNjSgzR1rTQw69xziS5eGAEc9iYZ6tL6eRH0Difo6e9zQSO6UKe232dxM5vBhaEMj2tBAorERWlrSPn8st/3IgkRDF4MkOTkdRlNoczPE42g8jtbXd7puRmlph2lV/32K5nnzVvm8Q37+c3KnTCEjlkFBrICsmjKW/9hSblWEW1S0DPz4/z5J9tixrX+vuPtullz+a1s3Yz8qMzKQzEzIymLTjAzuysyDjEKyRo1k0M030NjSSFOLBTzq/vR39KOpkBljzn++a7VJMjOQjExObq7gqMQkWkQp22IU83abQFNLU+u6m937LgltYei0hSx980+2bkYMycjkuGl5NJJJMy28NymTRSUJq0WSaKagqpktZimJGBTFPqbqixiSEYNYBomqGWw5M0FCIBGDz0YLGjk+/auVonpICOQ1riAzu8BSfo3ekbv2Ppf/fnQz31q+mP35O9Oqvsbg7IHkZRYy79+fsvGeuxKLeYcE51Ktxd8mzjnnnHPO9ToesDB7A+OBW5M/CABUtVJErgJuw4IRq+oaelq4v0TbJ+i+EbgQOF5EzlPVzltbvqKD3pjJXh+1bzwq2GN3hlx0ETkbbbSunnad0Oa21xHzERbOObdaRATJy4M0Iyzyt9tujbYZy8tj4vPPt5umzc0kGpvQpka0sZFEQwPa1ET2yJHtlsvbdFOGXXUV2hSWbWoi0diINjWjjeHvpkYkTYHqrCFDyd1kE7S52dZvbibR3ARNzSTCNOJxJKtjXY10AZt0Utft6noAZKY8bzxyHW5pQVtabB9TxHJyKMgqoCCrLd3X3AUrqP3kCwBSq3NkhxvAxDHbcPjWZ7ebP/W0zUIAaRZlvNpu3n6Rx2cfdj1Fe+3V+nf1668z/y+n2B+P3sKCyLK5wM8if5c/dSPNMSWeiNOcaKb4Hw/T/8GXwty/2Gv461/J22QT6rOnU9y/kZuGlvLbUQmOXnIrR1ScT2Yskwn5G/PBv55lm2MO6PB/cc6ttd8mzjnnnHPO9ToesDB7hvun08x7KtyvNG+BiOQCOwBfpPZ2UlUVkWew0RXbAatOHN623ZGrWGRE8kFd+Ux2/nwZi8LfWaNHUXzKaWRsvx1z4nGYNq2rT9sjzF+4iH5VVg20rjwB01ed87u3aGxsZPlyK7I7Y8YMcnI6pv5wPYsfs97Jj1s3icVg4cKO0zffrOO0NMpmzGh/3PbZG/bZu90yyT7+0XB2fUsL01OuFfFfX24BkXgcmpst6NHSAvF4GLXRgsabWTx0CMsj6yYqKqk7/jgLOMTjYZ0WaIlDPDotzqwli4nVt4UX6uPNVE+ebNsPAQvicQsmJP9uaSEjO5tEyv4uKy+nsQvBkprKCqpT1l3cxVEs8UWLyY2s2zBvHsu7GKAZ2TgUIiMsKpqKWZy6bnk5vPYaE7G8mAAzh8DvjppG5rz/saNMBmDFs0v5dNNPiGWGoxj6eqQWZQdaR92IiM0P9yLSul66daOjdVa27qqeE2hN4LW66yafM7KTne7vWn2tXdjfuXPnRjfhvUN6jj3D/Rr/Noland8Ts2bNon4lI9lSxauWd3lZ131Sr43rip8PPZ+fCy7KzweXtL7OBfDzoTdYnfNhcfuU0Wvt94Sk+6G0oRGR+4Ejge1U9d0086uBclUdvZJtbAp8AvxHVQ9LM/8C4PfAKap6y2rsmx8g55xzzjm3rn1NVd/p7p1wa+e3Scry/nvCOeecc86ta2vt94QXBjAl4b6yk/lVkWW+yjaiyznnnHPOOddTDO7uHXCt1sZvE+ecc84553olTwnV862qSvZo4LXweEdol3ra9VxDgbfD468Bi1eyrOsZ/Jj1Tn7ceic/br2PH7PeaQTwRnj8eXfuiFunVvV7IhuYAiwFlgEtK1+8z/LPMZfk54KL8vPBRfn54JL8XDAZwKDw+OO1tVEPWJhk76XOeioVA+VrYRvR5bpEVeevbH40XzGwYFXLu54h5bgt9uPW8/kx6538uPVOftx6Hz9mvVPKcetYGd51l7Xx26RVF9+PM7u6vb7KP8dckp8LLsrPBxfl54NL8nOhnTmrXmT1eEook6wmMjF1hogMBQojy3RmJpBIt42UbfedytHOOeecc865tW1t/DZxzjnnnHOuV/KAhXkp3O+fZt4BKcukpar1wFvAZBEZE50nFnbbD6gFvJihc84555xzrjNf+beJc84555xzvZUHLMxz2AiJ40Rkq+REESkBfooNkf9nZPowEZkS5kfdFO6vlvZjg34AbATcFQIbzjnnnHPOOZfOav02cc4555xzri/xGhaAqsZF5FTgKeBlEbkXqAa+BYwBfqyqsyOrXA2cBHwXuC0y/XbgaOBYYJyIvARMAL4JzAJ+vm5fiXPOOeecc643W4PfJs4555xzzvUZPsIiUNUXgF2B17CgwxnAEuAYVb22i9tIAN8AfoVVSD8f2AW4GdhJVZet/T13zjnnnHPO9SVr47eJc84555xzvZGPsIhQ1beAg7qw3MnAyZ3MawQuCzfnnHPOOeecW21d/W3inHPOOedcX+IjLJxzzjnnnHPOOeecc8451+1EVbt7H5xzzjnnnHPOOeecc845t4HzERbOOeecc84555xzzjnnnOt2HrBwzjnnnHPOOeecc84551y384CFc84555xzzjnnnHPOOee6nQcsnHPOOeecc84555xzzjnX7Txg4ZxzzjnnnHPOOeecc865bucBC+ecc84555xzzjnnnHPOdTsPWDjnnHPOOeecc84555xzrtt5wMI555xzzjnnnHPOOeecc93OAxbOOeecc84555xzzjnnnOt2HrBwzjnnnHPOOeecc84551y384BFLyYiXxORJ0SkQkRqReQNEfl2d++X65yIzBYR7eT2Ynfv34ZMRL4jIjeKyDsi0hiOyckrWb5YRP4gInPC8rNF5HciUrged3uDtzrHTUR+tZL3n4rI2PW79xsmERkhIueJyNMiMldEmkRksYg8KCI7dLKOv9+60eoeM3+v9QwikhveNy+LyEIRaQjH7TUR+a6IZKVZx99rrs8REenufXA9g58LzjnnVsavEz1HZnfvgFszIrIX8BTQANwLVAPfAu4TkVGqem137p9bqUrgT2mmz16/u+FSXAGMAZYDi8LjtESkAHgJ2Ap4GrgH2Br4MbCHiOyuqg3reocdsBrHLeJ20r/fKtbaXrmVORu4CJiBvX+WAROBw4HDReQ4Vb0vubC/33qE1TpmEf5e616FwBnAW8Dj2HHrDxwE3AIcIyIHqWoC/L3m+iYREVXV7t4P1/38XHDORSUbpv1zwUUlzwcRyfXvvd3LAxa9kIhkAv8HJIDdVfWDMP1y7EfpVSLygKrO6b69dCtRoaq/6u6dcB2cCkxX1TkicjFw9UqW/QnWoPMbVb04OVFErsEa9c5fxfpu7Vmd45Z0m6q+uG53y63EW8CeqvpSdKKI7AY8B9wgIg+ramOY5e+37re6xyzJ32vdawVQoqpN0Ynhe+QzwP5Y8OLxMMvfa67PUVUVkV2AU4AfqGpzd++T6x7hXIgBvwNeUdWHRSSWDNo65zYs6RqmRSTLrxMbthDIuhLIFZFL0vy+ceuJp4TqnfYGxgN3J4MVAKpaCVwFZAMndc+uOdc7qeqzXQnyhQvYqUAN8OuU2b8O009d+3vo0unqcXM9h6o+lNrwHaa/AryA9QDfHPz91lOszjFzPYeqJlKDFWF6HPh3+HMC+HvN9V0hQHcjcDI2YsjTPWzYjseCr98B+5zs3t1x3SkEsNwGTEQuxbKUTAFQ1WYx+d28a6777IB11NnPgxXdyz+ge6c9w/3TaeY9Fe73WD+74tZAjoicLCI/FZGzOsvZ7nqsicBw4DVVrY3OCH+/BmwkIqO6Y+dcl+wuIheJyIUicrjnZu9Rkj2a4uHe3289X+oxi/L3Wg8UGmgODH9+Eu79veZ6tXRBCBHJCAG6f4ZJB4Kn/9gQpJ4Pkb8fxdLzbiwiE9b7jrkexQNWGzYRyQMmAYcB24RpJwMtwDndt2dufVhJwPJt4D1gUxHZNSzrHR26gaeE6p0mhvvpqTNUdbGI1ESWcT3PUODW6AQReRs4VlVndM8uudXQ6fsvMv2AsNy89bJHbnVdlvJ3hYicq6r/TLu0Wy9EZDSwL1aL5OMw2d9vPVgnxyzK32s9gIhkAz8FBBgA7ANMAW5V1efCYv5ec71WNK1PMrVHmNYSFnkdqAImiUhBalDO9R3JOhUh/VN2cpRZ+Fuw+o9PAfthQdovu3F33XoWzgGJfF5sAZwLXKeqH3brzrnu0AD8HOtR/7Mw2mIS8Dww1VPG9U2R60Qi9TtB6OjQIiL3AttiHcFf9Y4O3cNHWPROJeG+spP5VZFlXM9yK9ZQMAQowIam3wF8DXhORIq6cd9c13Tl/RddzvUcHwLfAzYC8oBxWDFhBW4Tka93475t0EQkC/sszAEuijQy+futh1rJMQN/r/U02cAvgUuBHwKTgd8D348s4+8112uFRodtReRfwLmhMSIhIhlhkeXAAmAvLHDnvSX7qEhO+suAf4jIduHvzDCvCZiKpTLcIszL6GRzrg8JDZHJRsp8ESkFDge+Cxzoo0A3HCnFtmuxUcKTse845wMnqOojHqzomyLXiUuAj0TkqPC3RH7PvIt9950iIjnds6fOR1g4tx6pampv0w+AE8M18wTgNOAP63m3nNsgqOq/UybNBv4qIlOxArRXYKkC3HoUhuPeBuwO/J+q3tG9e+RWZVXHzN9rPYuq1mC/w2JYj+LDsJpnO4nIwapatdINONc7PAiMBnbE0nn8HkgAqOrnIvI5cARwCHBfd+2kW/dE5ETgF1iQfKyIHKSqtcletSLyWlj0OOCvKQF310clj7OI/AI4iraG6gRwJPA/4OVu20G3ziV7z6f0lj8S68i9HDsXPlPVRWF58Z71fZOI7IEV1ga4QUTmA29h3x8AFofbAUAW0Ojnw/rnIyx6p2Tvt856uRXTeQ851zPdGO536da9cF3RlfdfdDnXw4WUKDOAzUWkeFXLu7UnNKDegjUa3AmcnrKIv996mC4cs075e617hSLc81X1Bmx0xS7Az8Jsf6+5Hq+zOhXh4T/C/UfANSJyLDYCLOmucL+HiGR5o0Pvt5JRMs8DS7CRFCOBB0RkZPKYq+qzwOfABK8luOEQkZEi8gyWrvJdLDXYw0ANlvrlSBEZ1H176NaVUEQ7Fgla7S4iZ4vIjuE70dHAj7EsGN8WkSHdub9u7emsToWqvoRdB6Zh14s7ga9H5n+O1XkbCHxj3e+pS8cDFr1TMr9whzoVIjIUKKTzHMSuZ1oe7gu6dS9cV3T6/kuZ7u/B3iX5Hszv1r3YgIQvkLcCJwH3ACenGXrt77cepIvHbFX8vdYzPB3u9wz3/l5zPVq0Z2MySJGSvuFTrOHxDawj0P8BJ0c28TlWf2Uy4ClY+4AwWiJde0YzVjA1htUn2Af4vYhMhta6Pk9ggdgR62l3XffbI9xuwFJZ/kpVrwW+BbwDfAfYuRv3z60jkVRgm4nI88Bj2CisX4hIjqp+APwbC2B9G9g7uV437bJbS8Jxz07+HYJXyY4ODwH9sM+ABPBbEdk7snqyo8OOoSaSnw/rmQcseqeXwv3+aeYdkLKM6x2SvXtmd+dOuC6ZDiwEdhGRdgGm8PcuwCxV9aKkvUQ4bptiQ8OXr2JxtxZEGr5PxFJznNBJSgZ/v/UQq3HMVrYNf6/1HMPDfXO49/ea69FC4/S4UKfi2GRNAhFJpjiehX2ujAYuwGrp/EpEvhvmrwBmYqnsiqHznpeudxCRC7B0g8lARAaAqi7BRvOVYIGqM7HfyH8J85vC9Gxg1+i6rndbRW2aE8P931V1afL9H0Z/XoOlEPueiIxdt3vp1qfkORFG3T2HBSn/iAUmDlfVRoBQePmP2HlwgohMCOt5Gv1eJPUzQETOAF6P1M+LdnR4HxgEjMLSxNUAd4rI1mE7U4H5wMa0H7Hp1hP/ktY7PYd94T5ORLZKThSREuCnWDGxf3bPrrnOiMgUEenQo1REpgC/CX/evX73yq2uEFn/BzaS6Rcps38Rpv/f+t4vt3IiUiQik9JMz8OOVxHwL1WNr/ed28BEUgqdCNwPfKezhm9/v/UMq3PM/L3Wc4jIJp1878inrV7WE+DvNdfzdBJMOBrLN34NbaMnknUqPsAaFrbBclCfjjVG/E1EDlPVxcDrQEbYDl5QtXdI6RGbnLYF1iP+dOByESlW1ZZI4+J/gWHANqr6D+C3wK4i8s+QkvBZrGHyiMi6Xoi9l4oEqzr0gBaRDBHJwjpL1GB56QE0csxfxc6ZA4D9oz2yXe8WAttFwI+AOuBs4ApVfVFVm1MWfxe4CesYfJhYzYs4gFiRdtdDRdJ+aWTaYGAC9r3gbyIyKeW6/wX2efCt8B3ih9hnxD+xUTYzgbnh8aCwTW9DX4/ER7X0TiKyF5Z3sQG4F6jGhjKNAX4chje6HkREfoVdKF8G5mBfmiYBB2OFfK5W1Z922w5u4ETkVEIvK2Bz7ML2GvBlmPZq+MGT7G36GrAlllbjvbD8/sDbwB6qWr/+9n7D1dXjFnpLzcSOz1Tsy8kQYF8sv/HHwF6qWrb+9n7DFD4Lf4l9IfwzVvAw1cPhi6O/33qA1Tlm/l7rOSLfO17FRnBWYT0LDwIGAK8AByTfP/5ecz2RiBwHLFPVZ0KD0X5YSroWYN+Qhzq57KlYupdNVHV6aNT+C9Y78nRs1MV0LA3EKarqNVl6ERGZCByqqn8Mf0/Bju8+wO3AaZHGxTxsFMV/VfUHIjIAC1T9NSx7DpY67NvA11X1ifX9etzakZIubi9gR+x7yLuq+mVkuXuwc+AkVb0jNG4mIvN/BPwe6xx6kaq+tz5fh1t3ROQobHTw9yO/59MWUA4jth7DOgGfgV03DgNOAC5O/j5xPVO4LlygqqdFpv0ZC1S9gR3DlyPzXsDSsh+kqmUisjUWvKzAfrucBFwO/FxVr1pvL8QZVfVbL70B2wNPYgUQ64A3gaO7e7/81unx2gO7UE4Lx6wZWITlSty/u/dvQ78Bt2E9rTq73ZayfAk2bHQu9oVmDvYlt6i7X8uGdOvqccPSP/wVeAtYGt5/VeFz80Igr7tfy4Zy68IxU6w2QnQdf7/1kmPm77WecwO2w3oKfgKUh2OxHCtI+30gM806/l7zW4+4YZ165mAjKJ6Mnq/AT8L06VjPyOT03cJ37F9Gpg0FPsOKap4azv8PgVHd/Rr91uVzQbAREgmgHgswJOeNxgLhCeBaYFyYXoL1kl0I5ESWvwrr6PcA8AMsAH968nm6+7X6rdNzIDvcxyLTop8Jw4BHw3mQvE0Fdo4sc0CY/jRQGKZlAFnh8d6RdS8F8rv7dfttrZ0/fwjH9Rup506aZQVrpE5gnW5ewzqa1gHbd/dr8dtKj/MVkffwuZHpJcB1WGfvN4FdIvNOC9eBiZFpR2FpJt/CRpcnsEwopd39Gje0m4+wcM4555xzzjnXY4jIkcC/sJEUVdgI8lvDvAzgIuDHWIDiJ6p6v4iMwnrGLgaOUtXqsPweWEPG14AFwDhsxNArqb2sXc8jIgOx47oDFkh9DjhS20aH7YmlrtsDuAP4nqqqiFwCXIz1qH84LJsBXImNsFiEnQuPqurhnfW4dt0npF/5HZCLNUDGU+ZnqmpcRK4GjsFGz3yEjQ78KRbU3FZVa8Lyz2KBiV+o6pWR7QiW+nIi1jg5AthHVWev21fo1qXk57uInIcFLc4Cbkh9n6e7DojIL7ERpkXA7eoZTHo8EbkRC0BUYjWKhqlqVZg3HBtlcRGWCmpvVV0kIrtgnSL+pKqXhmUFOBCr3dcClGKfK4ep6tL1+6o2bJ5/yznnnHPOOefcerWKmgENWKHs/wL9ge+LyBAAtRo6fwV+hqXDvUlEtlMrCv8WsBmWgo6w/EtYcOM9rIEa4Pgwz4MVPV8Vdj68i/V6PQhLzwKAqr6IBSA+wXpGJxsW78caGyeLSCw0SrZgo8h+Rdu58HURGe3Bih4pGzgF+C6wRXSGiOwDNIX0h9tjKb6uVtWHVPXnWAP1ROCSyGoXYAGJX4vIuSIyWkQ2Bs4HdgKuB/6NnRvbh+fx2ia9VOTzfS42SmIXbCQw0HZsQ1AjW0R2jqx7GRaw2D4ZrBAvwN2tVvZeDMHNJVgg+gMgDxuZl0z/tVBVL8FSSk4GbhOrB/wxMA/YTqwmMGqexK4zBVjB7a8R+V7h1g8PWDjnnHPOOeecWy9Cccx2vdnTFLJ8AWtweBXr+bwDltIJAFWtUtUbsAaJEuAWEdkb62E/HEsV1NrApKpvYj0vy7FUQV43rodILaidMi+mqk1YAfUBWO9YgDNEZGRyfVX9FEvdMRM4T0SuwFI/PY3V6mkNTKnqElX9LXAXlnbsm6o6dx28NPcVqWoDcAiWdjK1pkQG1gh9IVYr67eq2hgpmP1/wOvA+SKyWdjeh1gqsBlY4Oo97DPm91ja5vuwURlgDZR4IKv3ijRwv4fVLzgS+IaI5ELbsQ2j824B/iwihcn1VbVWVRtC4XZJHeHj1p/wOZ/2vRiOTQL7PM8B7sSCEN8Xkc3CiLvcsPhPgJux2kd/xT5H/oPVbxuass1nsBp+zwDHp/kMcuuYByycc84555xzzq0Xofeiisg2InJWmJY60iEPS9uwK9Zg0ACcFgppE2mUvBJL9zQBK8C8Jda4fWLYbrIIcyw0ak9R1ZNVdUWaIInrBqraEkZAnBUKpkbnJc+LadhomrlYQ/OWWCH11vVV9SNspMWbWKPU5Vj++R1EZKPQizoWOe6nqeq4ZLoo132SQat0PahV9TVV/ZeIjAyjKpLTn8YaHrOwFDA5oVGzKcz/AksRlYnVpEiudzNWTPcvWEDrVawO6NfDCJxkw2YycOF6qWQDd0jtdRtWW+1K4BwRyRKREhE5ELgGq3HyCFbPIHU7LR646l6R68RVIrJf5DMjFjk2r2LpmxZhIzDBalcQAk+iqguAy4B/ADsDD2EjMoYBo8I2M7BaJgDXq+oBqnpPmOcjrtYjr2HhnHPOOeecc269EJEcrDfrsWHSpcCdqjo7NDi2hOVewEZP7Ib1rP85cJOqnh7mZ4RGjBIsN/mvgTIslVQlVsdiTprnF6x4b8u6fJ2ua0Qk2VCYjTUcnaOqr4Z5yWN8BFYo+zgsIPERNoLicFV9W0SyVLU5BCO2wGpejMAKL5diqYKuS3leCYGzTO853TOISJ6q1otIbhhdkZw+BAtWzcLyyE8P0ycDDwOTgI1VdVpobNQQoBoA/B34FnCIqj4Z/YxJeW7Bel3/BSgE9lTVGev0BbtV6ux4rcb6yfd5PvBN4AYszc9crCbOQCxI9UtV/d3a2Ge39onVonoGC0AuBG5J1pyILLMp8BI2wuJ8LICxE1bz6KHkdSIsG8OuEwdhwcmJwB2qelInz/+VzkO3ZrxXiXPOOeecc865ta6T3oilhJRNWBHsXwA3i8jQlAaB17Bc8k1Y4d25wHdE5KDoxlS1Uq2A7j+w37cTw20caYQBHt7w0AOERqNRWLBiKVZ/5DYROQda65WApXNpxIqozsZSgQ3DAlUkgxWqmlDVD4CTgS+BKVi6oImhwbJVpPe1Byu6mYhsKyJVwJ+hNRUUIrKziAxR1SVY+pZJWHFtwnJfADdhvaEvC5MTIVghqlqGjbJYAvwyBETSBSt2woKi12GfG9diwRHXjcIxTAawdwnnyUbR+avaRuR9Xqeqd2JBqcuxRupp2MiL8clghY+8636dHNd5WLCiGmjG0gL+IwQzAQijKMuBUeG4/z7M+kOY3xwyUmaE0Xs/xj4fJobltgvpwTrw7wzdw9+MzjnnnHPOOefWmtAoEE3VEG2EWIylcWrA0jfdj6V0ejIlGLEYK5q8p6pWY4WS84GzQg/slmTjQ1j+l1jQAizY4fmme4hkI2BqQ1RoNHoUK3QcwxoPZwJ/FJGficiwsGgeFtzaLfx9LdbYeLSIHJ76fKr6HJYS5PMw6UlVrVuLL8mtXUuwVDzfFJEhIrKpiHwO3AtsGpa5Bmu0PEEixZGBW7Fe1UeLyC7JUTOR+f/FelJvj9XDaCVWaPlBbJTGpUAN9nnzpzRp6tx6ED7Tk8Wwk6kDXwNeBN4GPhORG0Vk3JqkaVLVt1T1V6q6HzYK70equkja6lT4ce8myWt5OO5ZkemZqjoT+wwowtJF/g74HnCniGwe2cw7wFZhO//Gvl+MFpFLwvzW0ZWqOhX73vB4mPdzVZ23jl6eWwMesHDOOeecc845t1aE3ovJlCzbicjdItI/0tNVgf9hjZF7YwVwTwYGA/8UkZPDpj7Bfq+Whr9vxxomDyLUqAjbSzY+LMJ63m+sqoeqatW6faVuVSINj8lGwA4FtlV1KW1pWkZhvdz/jKX4+r/QK34m1nN2gIj0U9V6bGRONhbAKtK2GhXJoMi/sRQwGar6xLp7le6rCJ8X84Ezsff628DHWEDz9+ExqroMOycmYEGLnDC9AvgboLTlq4+HRs9YGEFzA5Y+7IHI84pavYvbsVEax6jq9qr6RrTR3K1f4dqh4b08AkvvU4Cl6roCu3achl0rhq1kU115rnporYPgdSq6SeQ6kRxN8xvgD5HRE8nrxy+A5cD+WLqn44BtgUdEZN+wzEKgVES2C39fgwUiLxeRQaGjQ+t1SFXnAkdh14l/r6vX6NaMByycc84555xzzn0lyV70oUGgRERuB94C9gLGR5cNwYS/YekdjgTmYIGIj4BbROTXWOHMeVgDZTLQ8YuwidNFZGRo2Io2PpSp6hcpIy9cN0k2AIrIUSLyNPC0iDwiIgel9IJ/A+spfwCwlar+CGuc3g94RkR2xwIQU7D6JKjq/Vjv+b2BkyJP2ZrqSVW/SNPj3vUsyUbiTcL9cKxeyWFYwdtlkWVvx0ZPHU1ktEQIRNwDbJ0MeIZe2Ykw/31VfTRMTx3l86iq/iIyP5ZsNF+7L9N1lYhciAUtL8HSAJ0VRkJcih33fwO7AD8Vq1Pylfioiu6ROhJTRI4VkfnAhUALIVARgtGZIaBxQVj9l6p6LxaUbgbuF5HvAS8DxVjAE1V9H0snlwH8Jqyb+t5u9OtEz+QBC+ecc84555xzX0my0UdELsJSvByCNRB8A3g3zSofY0GLjYHzsALJhwH3Ybml78IaGbaPBENexdI+bRWWSZtbOrQ3es7pbiYiA0XkbuyYDsaKqO+NpeD4S6SXfA3Wy30u8F0R2V5Vf4k1TE/G0nochKUE2y3yFL/AUgn9SEQmd9bIrF6nosdIBgzSjL4pwdK5xICNVHWeqsajjYhqBXN/CfQDTor0wAZrlFyM1cPptJB6ykivDvvljdfrT8qIqOS0fth14BRgD6y48qthXo5aardfYymiTiCk/3G9T2Qk5pYi8j/smj8VOBa4MhqsTL6fVfUOrCPEfiJyiqq+CByOfXb8AzgHq2nztchT/TFs92QR2TX1PR4Ncq+TF+rWmAcsnHPOOeecc859JSKyk4jMBa4CHsIak65SyxneoSE5pGO5C/gAa5g+NDRGnYal/tgY6209D2uoTrom3A9MNni7HuvIcPsT8G1V3RbYCesl/wPgskhal2lY2pdxwCkiUqyqDwOnYg1UuwJVWBH2ZEqfd7FgyFisEdv1UKE3dWZnAQOsN/1uWKq4bUTk/DA9tXHxeSxN0KHYuZWc/gbW834+MGZ1Uzr5iIr1KzkCJvRsLxWR4WFWFVZ/pgqrX7IsLJ+lqo0AqvoBdo0pxs6DVRbLjp4PYrVLMlOnu/VLRDJF5AasllUpcDY2mua+ZLAiGuCMBC/PDfc/EZEharUovofVtdgLqMOCFskRU8uA/wvrfOUROW79Ef9cds4555xzzjm3pkQkF7gaa0i4G/hpyA2dbDBIhN6xjSnrxYDvYMWWHwTOVdWFYd4hWA/be1X1vTBNQgPXRmp1DVwPFBqZirGUTSOBMeEcSB6/7YDLgd2BS1T1L2G9MVhqn0lYw9W9YVv5Yfn3gYfDiIzkcxUBTannlus5xOpUJPPTF2I1a/oDZcDjqjoncm5sDryCpYvbXq0gcizaK1pEJmG1Lj4Bvq+qnya3HT03XM+TPM7hcQHwc+xzXoCT1VL6FWIBrEuwNGCnREbwJc+TicCHwAJgCw31KFbxfDFgB2BP4C1VfW4dvlS3CiIyELgDSwX4U1W9Js0y/VW1PPJ38vvEP7HvDr9R1Usi83+ABbleUNXylOOfFUZpuV7CAxbOOeecc84559ZISiP0n4FhWIPQPGBLrIFodywl0FvAI6r6VmT9gcDNWCHN81T1xsi8lTYwRBtCXc8SGiM/xdL07IWNjEimABHsnLgPq1Vyuqq+GXrQfhMLWjwOnKlWkBkRyQJaOkvZs7I0QK5nEJGzscBTEZajPgs7R84NIyeSy10FXAz8TVXPTvc+F5FLgV8Bv1PVi1Lm+bnQw4nI8ViR9AQWiPwQO96zw/xNsREzceB7GoqhJ1cP9x9ivel3BhLRUTLRhurw90Qs1dRpWJq5U1T11nX3Cl1XiMhuwGPAC8APsUDlQdhoq73C368D96jqO8nPAhEZjBXYrgV2U9WPwvZi6a4Rke8p/tnQi3hKKOecc84555xzayTSKPQuls5lFFY081iskPINWABjZ6zH7Isicmpk/eVYw1Uc+I6IbAytDQ8r7Q3pwYruIV0raJ6P1TLpp6r1qtoabAjnzJvYubElcKiIZIeGpOewossHAkckN6aqzZ0FK8J8b4TqoURkiIj8AwswPIelA9sSC04NAK4ODZdJvwW+BL4nIjtGRmcMEJGNwjLXYSOzbiSFnws9m4jsDVyL1RU4FThGVS9MBiuCL7C6JFNoSxGXlMAatKdgjdbaWbBCRAaLyHHYefJ7YCmwlQcr1r0uXifewb4nHIKdC9dgo2qOxmpYjQXOBx4WkR1oK8S9FLgUC35enNxYZ9eI5Pngnw29iwcsnHPOOeecc86tsUgD0X+wnvE/BP6JNS4cCGyPFUc9FcgFrhORCZFNvIE1WuwMHAVe/LYnSvZwDj1cc0TkBBEZFOa1a1sIecOXAJNE5OthmYzI/AYsMDENO0dGh+llWC2LGuAYEdky3fZd7xCO24HAt7AAw0WqerOqfo6ldKoENgdOFJF8AFWtAH4D5AHXhEDFgVgtlD+IyMaqWqGq31PVmV6HoPcQqzv0EyygeZGqPqKqK0KNgtbjGBqWHwBewgpwXxsCX/1E5GDgMizIfUPqtSL0pM8TkX2xuga3YWnmjlbVPZK98d26sZrXiXrgJmAuFtA8GTtmU7DvA2Ox4OTAMH9sZN2rwnrHpLvGuN7PL/rOOddHicieIqIi8qt1+By/Cs+x57p6jt5CRMaG/8Vtq7ne1iLSEnr/9EgicmrYx827e1+cc871PJHei7OAfwEfA39R1W1V9WlVXaCq01X1Fqwody5wAbQGO2qxRoslwAWhJ6XrYSK9lr+N9VS+lTQBpkij0e3h/geRVB7RxuW5WJ2LbWlfDPVdrEjqTsAJ4RzxAFYPlmyITA0ehOOWC1ytqheo6gyxosfXY8GqTOx9/00sZU9yvZuB+7HUYVOxz5XjgdfViuy2Pm+0d73r8QZhx/Q5VX1NRGLJgHea47gIC1I1Y0GLV7HPhhuxz4yfqOrTqU8Qfq/8AivOfixwhaqOVNX719WLcm26ep2I+BL4Izaq5iBVvVRVVwAVarWJfoelD9wP2CJsOyes+6Nw/8vwWeCjLvsQD1g451wPISI7hgbv/3Yy/09h/uedzD8vzP/1ut3TNRc6z3xHRJ4XkTIRaRKRJSLyvohcLyJ7dPc+doM/AJ9jaTTWKRHZLpwjZ63mqrcDc7AvjM4551wHkYbKp7GgxB/D9GRDZmaY/1csf/1BIjIw0kg1DUsT8ntVfXO97bjrMhEpFpEfAf/AGpqbgaPFiiC3Hutko5GqPoil/DgIa2yGtvzzqGo18Fn4c//I9HqssfFu4GZvkO65RCQjGlBKSc2TDFzdhqXjQUT2x0ZWnIClBPsOlkKuPxacGhnZ/M+wwOb/wrIDVPW30ef3QFavk40FsLJFJE9VE529v8P0V7DPgiYsuHkhljZorKr+BToGybDPmoux0RnDVfXydfJKXFpdvU4khdSP/8ZGZr4VGaGR7AixAHgNa78+IKzWFOY9hI3AOM0/C/oeD1g451zP8Q42/H2XyI/6qL0ABSaLyNBO5gMki9a9BWyMNQz0FLcAd2BpIR7HGibuASqwnjOnddeOdQexHK57Ateupy9Z3wj3j6zOSuGL5B+BA0Rkl7W+V84553oMETlKRJ5IjqrraiqeSOPCcuABVZ0b/k5e31rC95sGLO/4ImBFpHGiCfiDqvbYjheO3bFG5BrgSGwUxG5YL+bUURbJRsTLwv0FIjJMreh2hohkh+nJ9CzLw3rJoMfHqvodVZ3qKX96htTjkOzRHFLw7CwiN4nILSLyFxHZPhK4agzHfSDwUyw4cQHw8xCc/BBYgPWa/3Zy+6r6par+EThWVS9S1XIRyfTzoVdrwAJWI8KtnTQB7nKs4bseGA98oKp/U9WySLAs2aM/eV7cA2ytqkeH65Fbv7p8nUhS1YWq+ryqNqQEPZPXieXR+/CZkxEen6eq73X1u4rrPfyAOudcDxFydb4CFAJfi84TkQFYftd/h0l7pcyPYV8EGrFeSKhqnap+3lO+qIkV0zsZ+ADrFXOiql4SvmTsBQwBru/GXewOZ2BfwB9YT8/3DeA9VZ23Buvei+WKPX3t7pJzzrkeZnss5/yRsGY9mFPTMkRSfsSBXbHC3AuxjhjR9VIbnlzPUoN1PNlJVZ/EGqIWAcclOzREAg7JANbjWD2TzbFRpYRG7qawzYPD/Zwwr9355il/upeIDEse29TjEIIQ/UXkn1i6nsOAr2M9pd8QkdSe7UdijZm/UdWbVLU8TK8DSoBSrJbFduG5k8HMuvB3TFXjfj70atVYp7otgL1FJBfaGqaT5xRwq4hsHY71B9gImwOAb0Yaqlui50LkM+dDVf1wPb4m116XrxOpku/5yHUkeZ04Ity/lVw2+j0jOsrL9R0esHDOuZ7lhXC/Z8r0PbAh9NcBK0gJWABbYr2V/qdWxLDTGhYiMjvcCkXkzyKyUEQaReQjETky3U6JyCgRuUdEVohIjYi8JCK7r+Zr2ync366qVakz1YrnvZ7yvLeF17CRiPxERKaLSIOIzBKRS0Ukq5P93V1EHhOR5eG1TReRKyQU8/sqy4fePBeJyJdhX74UkUtYzWtq+DL+DeCp1P+HROphiMjGIvIfEakQkfJwHAaG5XYSkedEpCrM+4eIFHTyfOOwxoJHItNKRORyEfksHNeq8HpuF5Ex0fXVime+CBwpIoWr81qdc871KldhuaRPlJCqcU17LkYaHFUsb/03sO8ys4BfhyBGh8ZHb5DsmVT1ReAyVZ0TJk3FjudELJ1PTmhwTDY6JQNP5wLvYWlB7hGRXcL3mx9iI2yfAZ7r5Dm9EaqbiMhwbOTDn0VkVJiW+llwOVZQ+3dYsGIzLF99GfBzETk98r0x+R11Wco2TsPSo/4Ta8gugfQBkrXwslw3CY3K1VgHvHnAJcDh0NYwHYJVN2C/ffuHefVYHYTpwHGkdOxzPcvqXidS1tVo8EFEJojIb7GRV3eo6n86eU7/ztAHecDCOed6lmTAIjUgsRfWE/8NbBRGuvnR9VclC8sxvT/wIJYbdDzwL7Hcsq1EZBg2auMYrFdDMmjyDLBjF58P7IcLwKTVWCfpT8BFwLPAX7CRJJdhQ37bEZEzsIb1XbC0U9cB87Ghqc9I29DSNVoeKwp6DXYN/RvwFFbw68+r+Zp2x47DGytZZhzwOpCDDYf+EDsOD4vIrtiP+5qwTzOwH/1/6WRbh4f7R6C1EeEprCjdirCNm4D3sR+cE9Ns439Y3tmdu/D6nHPO9UKh1/MVwBgsaJHfWeNCF7alIpIlIvsAV2LXqP5YsOKDtbnfbv2I9IpPjg6+EyuEeyRwaMqyKlZsuxL4PnAzcDT2XfZt7HyYB1ygVlzV9QAi8j0ROR/77n4T1jEqXXH1LYAzse/Rv1TVt1V1sVrtkh8CM4HzsSAG2DGvwXrJbxU6JJ2D1bN4UlVPAwapatrglet+Eopkf8XNPIWlmi0BbhGR34nIySJyDfB3bNTVzdhvoKSZWCrhrbDrUu5X3Ae3Dq3OdSKNHBEZLyIXYNkXfoy1AXgtkg2NqvrNb37zm996yA3IwOo51ABZkekfA8+Hx+djKRRGRuY/GqbtFpm2Z5j2q5TnmB2mPwxkR6bvE6b/N2X528L0n6VM/36YrsCeXXhtI4FKIAHchX1hGbOKdZLPvTTl9WZjhdQU+FZk+iZYYa8PsMJ80W1dHJa/4Cssn/yffgAURKaPwHqLKXBbF4/1b8Py+6aZNzbyvz03Ml2woIpiOV2/EZmXhQU0moEhabb5IjAr8vfmYTv/TrNsDlCYZvrXwzqXdfd7xW9+85vf/Lbubtj3keeAKuDoNdxGDOsMUIGlg6gFHsPSQnb7a/TbWj1fjgnf7x4FhiaPfyfLHoV1QvkdcGRkunT369jQb1jnpafDsbwF6Ielb1uK1RrZOiyXEe4PC8v+IPydHZmXi3WKSWC1KgAGYZ1+EthvgiXh8XNEfhMkt+G3nnWLHpfo74TVee8mlw3nx1HYaLtEuFVjNR1372Td4VhAY/vu/l/4bY3Ony5dJ7AOgY3h+8cM4Hvdve9+656bj7BwzrkeRC0X48vYkOntAURkELAp1uAM1lAPYVSFtNWvqAfeXI2nO1/b8kKi1ptpDpFhtmF0wdHYD5VrU9b/BzY0t0tUdT42ZHweNpz3fmC2iCwVkfvEClB35s9h/eS2mrAREGB1MZJ+AGQCZ6tqGe39FgsqHPsVlj8x3F+uqrWR/VnA6o+wGBnul6xkmRnYiI/k8yhWSwLgfVV9JDKvGauFkYkFYlqJ1UDZlfTFtutTJ6gVR6xJs2xyX0emmeecc64X6iQtQwtwKVZX62QRGRGW7fLvR7We2B9gIzkfAPZR1cNUdXZIr+h1KvqOJ7GOMAfRSe0TCUV0VfV+Vf2Nql6oqg8k54XvOK6bhO/8lwHbAT8BfqeWrnUe8BtslMR3JBTaDquNCveTwL6fq2pLSOnSgP12qScU0lbVZap6MfBz7DvpG8CJqrqPtqWPQVNq4LieIRzb/iJyA/CCiDwiIjtivz26dH1Ivs/Viivfj3Wg2gn7XXuwqm6nqi+LiaWsu1BVT1fVtzpu2fUCq7xOBHdgIyvOAiap6i1gaZnXz266niKzu3fAOedcBy9iPZb2Al7DevULbQGLD7BeSXthF/StsB5Qz0YDEKtQoaqz0kyfT1utCYDJWA+Y58MPj1Zq6SFeI33qoLRU9VkRGY+9pt2BbbGG9G8D3xaRq1X1p2lWfSXNtP9hRaC3jkxLpqg6IKSfSNUMTPkKy2+5kv1JN21lBoT7ipUs81GaH/CLwv0HaZZPzhueMv0QrLdsNGAxFestd6yIjMS+QL4IfNDJl0ew1FEAA1eyz84553qB0EgcV23NGa2ReaKqr4nI/2H55Y8C/rSS60NaqlorImdrKJobtp3hDZJ9i6pWisgfsVSjJ4rIk6o6Q0Q2AbZQ1XvV0oIAbUXYQ+N3IjrPdZuhWMrPd1X19ynzrgNOwjocPQP8N0x/BvuuvJWIjFHVOdHPElV9RURmAENFZDQwPxzvq6DtPAiP/XOhh0lzXdgBuB0YhqUL2xbYgZDub3WvDwChg1S7DneRcyFtEDN1v1zv0JXrRFjuDRF5N3TGaz0f/PNhw+MBC+ec63mihbevCPcNhC9zIVDwKm11K5L3z6/Gc1R2Mj1O+/pGJeF+aSfLr2x0QFrhR+mz4ZbscXcyVmDtEhF5QFXfW9XzhF4+ZZF9BCgN9z9LXb4Tq7t8CTaUdXmaeav7v0iObFhZDtYOxcmxY7SqeanFyA/Hgg2tQRVVjYdRLb/CRr4kR9AsE5G/Alem+WKYF+7rcM451yslG3uSjcQicgLW4FiFFUZ+KtIB4mqsJ+TJIvKCqn6YbGTu6vMlgxWRxmlvdOib3sW+y10A/FBEPse+3+0oIitU9enkgpEGbS+i3HNkAk3ABAAR+QZwI3CFqv5VRH6JjZY6UUTeUNUKrNPNo8ABwH7AP0IgKiN8Ty/A0kRVAAu0ff2L1KCVfy70EMmRDWnen9/EfpOehHUc2xwrhn2RiHyuqs+s7vUhnVWdCx6s6NW6dJ1Q1ebkKEz/bNhweUoo55zreT7E6hPsHIZn7wW8oe2LEb4IjBWRsVhAA7pecHt1JAMbgzuZP+SrPkHo3fkP4O4wKbWgeNrnCcNCB9A++JJsxC9WVens9hWWr8SunelGGKzu/2JZuC9d6VJfUShKtz/weGoPRlUtU9WzsRocm2BDb1dgKQF+kmZzyX1dlmaec865XiDSo3k3EfkMa3A6CQvePwTcLCJjwrKzsXQwWwDHh0bGNS3A7Y3TfVCkUakO6329EDgDyzW/GfCjaLDC9TyhkXkmlq51jIjMAf4NfAHMC+/7f2PBiW8CR4RVl2OjvRuwRutDoLVTURF2HkzE6ru1a3T0oFXPlPyMD5/zE8SKYe8lIv2wDlC/VtWHVXWJqj6L/XYYDpwnInlren1wfduaXCdCxwoPTm3APGDhnHM9TPji/hLWm/3rwMa0pYNKStax2BerX1GDFSlb26ZhP0K2Cw3frULvm53X4nOlq5mQtFuaaTthvcHej0xLDinesePiaa3u8h+uZH/STVuZj8P95NVcb3Xti9VESVe/Amj9QjhVVf+G9ZADO/dSJff14zTznHPO9RIisg3WaJAAzsGuYRtjPR+PB6IpYf4OfBqm79vF7UvkcbaI5KVOd91jbecBjwTAdgC+jzVe5mCFU4eq6p/CfD/2PVQkaLAxloZnBG1F0R+JNBpehqWpPUlEJoTpL2EpgcYDt4nIr0TkPKwW3C+At7GRGa6HSFdrQtpqzKiIZInIb4HPseLrzwH/wc6Nd0QkFhmF8QiWIuwg4ITV2Af/POjB/DrhegIPWDjnXM+UHC3xy3D/Ysr894Bq4FwsTdErqb3n14YwquNf2AiLC1Jmn0oostcVInKgiHwj+YU4Zd4ELD82wKtpVj9XrM5Ccvls7McRwG2R5a7H0iL9JeTKTX2efiKy9VdY/o5wf2kY5p5cbgR2LFZHMui0w2qut7q+ATQCT0UnikhyhE6q5EiRhjTzkvv6Upp5zjnnepiVNDp8HxgDXKKq14eg9QzgZmAm8C0R+SaAqlZh6QOHYQ2VxaFRq0PDQqQXZbJxYltsxN4Jnne8e4lprRMQvgcMSn6fWdOGorDdnYG7sN7WzwObqOrZqlonIpl+7Hs+EfkONhriTaydaIyqLgvzMgBU9X3gr1gduqPDtEpV/TP2m2UFcCmWSu444D5gH1X9Yv2+GtcZETkVeFBENopOT/kdeQgWfLgROA/4I9ZJbRKQCAEuiVxfzgn3Z4rIqGSqr06eP/UaMU5EJne2vFu//DrhehKvYeGccz1TMmCxGdZw/EZ0Zhhq/RpwYMry68LFwD7AFSKyKzaiYWPgYOBpLN1QV0zBvvAuF5GXgRlYL60JYVvZwA2q+maadd8APhSR+4BarCj5ZOAhVW3ttaWqn4jImVgP0S9E5InwPEXARsAeWIDj9DVc/gURuRX4LvCxiPwb6x1ydNjHQ7v4vwAreD2TthENa1348n8Y8JxaUbuorYCHROQt4DNgMdaj7nCsx+0fU7Yl2HkwVVWnrat9ds45t/ZEGh3OBFqwa1o/7Lr7rKo+FuZPwK5hJ2HXv3uxXrXJ7TwoIo9jo++eAu6INiwkGxqijVBYo9dpWJ7zS7FGUM9F3Q0iDUEt4VhfDWyDHZMyEbkY64zQvLqNRqFxsgHrSX+xqj4QnjPZA9sLaq9nq3MMI8s+jh3DpViP+W+LyB2q+jj2fT3pd9j33hNE5Nnk93ZV/bWI/AULegzCvi/OCs/hBbV7joOwzkz3Y79DABBLA/gy9jtvCVZQ/VJVLQvzs7CG5p8CZ0SuLRmq+qWI/BnrvPV94BfpUn1Fz0sRGQTsjQVEVgA/BGavg9frusivE66n8Simc871TJ/QVtg5tX5FUrSX+zoLWKjqIqxXzX1Y6qRzsdoR+2EF17rqLqzh4kVgUywIcC7Wa/9pbNj5mZ2sex42tHw/rBdPLtbb89g0+/t/WLqoh8P+nocVDB2INcL/6assH17DJdiw6LOwL/5/COt1WfiSdyMwUUS2X511V8OO2IiJh9PMewfLS65Yo9IFWD2UZ4FdVPXRlOV3B0Zj++ycc66Hio6qEJEiEbkH6xW9P1aLKIFd4z4VkRIROTbM/wM26nAHVT1OVStDI1XSL4FC4EciMjTyHNFGqAEichTWEeA6bITfjqp6hTdYdp9kj2cR+QnWILkjlvbzPWAo9h3vuOSya/AUH6jqsZFGqAwNefDXzitwqyPyfszt6rKqWg5MC/fXhNk/C/PikYbFxcAVWG/745OfEeGYV6jq26r6hKrOCudczN/73Sd8JudHJp0NnInVK4pqBuqwwPXXgd+papnYqHaw310zsUDV18K2M7DfEWAd3JYDZ4nILin70DqqQkTyRGQf7HfdbVgqsdvV6iW5buTXCdfTiI+4cc4511OJyG1Yb89xffGLrIiUYl/+71fV09bB9n8DXAgMDz8wv8q27sSCM+NVtWIt7J5zzrl1RCxV4TbY6LkHgJuwUYlTxVIgPo2NEHwKu85WAz9W1X+mbGdP4C21QpmIyGVYz+l7U5bLwRo3jsdSiaTdnuseoVH5NODnWMeEO4HnQ0P0OKxx6lPgIlV9NTQyr3Yj0pqu59au0EB8JdbB55JOOj6tahsPYaNuz1bVv6WkicnBUrpMwXrb/yvdPnh6l+4lIt/CRlJ8B7gnZVRcBnAA8N/ke1ZEvgdciwWadwVmqhXRzgij+7+P1TT6j6p+PbKtzPBZch4W+D5MVR9PPQdEZCvgW9hn0QDgKlVNpj923cyvE66n8REWzjnnXDdR1RXYcNuTwlDste0bwJtrIVgxCTgGuMKDFc4517OFhqhPsRpUtwGvqeqVqjoVQFXnYmkJx2CNE1djRS9TgxU/xwIdWyanqeov0wQrxmNpQu4ETgH+rKqDPVjRo/TH0oC9jaVreTo0Qu0HPAoUA9tjPeZzQiPlaucq90aoHmMH4CJgv9UNVkRGaF0G1AA/FpHBocE6WcuiERuF0R+rc9eBByt6hCZgEfADrMgx0HqMn8EKaR8YWf4ObAT/YGy0dUKs9mACQFVvAl4BDg0j6ZLbagnz/wSUhjRi0ZE+Y0TkDOBWbNTOK8AID1b0OH6dcD2KByycc8657vVnbGh9h6LfX5WqTlHVndbCpkZiP1z/tha25Zxzbi1IpltJmZYZekFfio2gGImNpkCsqGWyMfLvQD3WIHlltAFBRMaLyK+xnOKvAVNTniO1gWJP4HzgQ2C0ql68dl6hWx2hYTEtVV0K/FZVv6Gqc0RkiFhdsKew3tRnY0GuI7E0kV15Pok8zoykjnHrSer7P+JtLI3LpmL157pcLDcEJkRVP8QClmOwVKgQGq7Dco9ho27/uqb779aNyLF+DrgF2A04KvkZEa4Rye/0x4tIvzC9GfgLNkLu8jAtHraZvHZcjqUO/ImIZEfTfYXzpiL6WSQim2Ppdf+GpY/aVVWPCp9Jbj3z64TrTTxg4ZxzznUjVW1Q1ctV9ZXu3pfOqOrzqvprVW3q7n1xzjnXllIh9HCcLCJ7ichGycYlVb0O+AAownpFAiSSjUuq+jxWY6II+FBELhSRnULu6uuxdIJvAL9OHVkX6TWbbIh4BmuEOlRVF6zDl+3SkJSipSLydRHZR0S2EJGCyKKvhvmbYkXVD8LyyJ+iqn/DGhQHYA2YQ5P5zNM8X2s++vD3lljA6uCVNKC7tShyDBIpxzha4Do5EmqPsOzqjHhIvrevBmZhI4G3DedEa40cjdSpWNPX4ta+cJyyQiq/h7G6decBkyPLPAg8gqVoOiIy/Tngn8AoEflZmByLXDuew9JMbYsV2I7WQUneRwso12I9909V1W1U9fW1/Xrdqvl1wvVGfqI455zrsVT1ZFUV7YP1K5xzzrnVFWl0SIgVzL4FS+/0BDBdRC4QkVFh8R+F+++KSHFYJ9q4+FssJdRA4DfYaIpfARtjeeuPUNWZne1LpHFqrqp+tHZfqUslIjuLyKDwuPV3vLblnz9GRGZjNUuewQJWD4vIsOhyWAPUbsBVWKrHD8P0ZIHm7bBGzLSpOyINUKPEctrfhJ0/m9HW0O3WocgxuAT4KJKeRyI93t8FqoApYjUnVmf7yboFZcDvgX5YXns0pYC2etHcHiWStqs5TPoUS/U0BDhVRAoji1+GvWdPEkvtl3Q9VmPvVyIyKJkOLBKs+hV2Pqx05HU4H2eq6p6qestXfW1u1fw64foSD1g455xzzjnnXC8QaXQQLKXggVjDw81YA9MVWKNUjqq+iPWg3RIrhB02ocl85OWqejOW7/4QrO7RccBGqvp/4Xlae1O77iMiF2E9X5M9mpPnQSyk2fgZlh9+JlZPZB+s0XEX4HaxYrfJoqrHAuXATapaE3maXKyo6ijgRyIyNvL80bQeJSLyDSx1zN+BPGAfVb0itTHbrTsisgdWWHsccIOI7ET79p3F4XYAkBXWWZ2GwuTnxA3Ar4Gz1sJuu3VM2wqjHyUi/8N6yX8XWIFdB7aLLPsB9j7eHatVl5w+FbgRyAB+1za5NV3YdFW9qrPe9ZHteB2T9civE66vEf8Mcc4555xzzrmeT0T2xRojXgcuxmpV3KWqtSKyBdYYMRI4U1UfDI0JM4HPgUNVdWYyndQqnifDGxV6DhHZGPgv1kD9D21fc2QcVsT2S+Cc5GgXERmANUqdjxVfv0hVl4nIP4GvA0er6lNiOc0PA24HLgCygaZk0CryPJlYwdVjgZOwBu1LQoO2W0dW9n4Vkc+wIEUL1pD4Y1X9d2T+A8A3ge+o6t2hsbnLDUCpz92Vzw7XfUKDcR42KuZ0rIbFB1jA6iBgInAfNoJueVhnKJYyqgY4SVXfDNNLgQexlGJ7aJrUtat7Prl1y68Trq/ptOCKc84555xzzrmeITRG7YoVvBwOPK+qNyXnq+pHoQflE1h+6f+p6mwR+R1Wk+J04CddCFaIByt6FlWdKiLbqeqyNLOPx86Hb0caoTYDDsbOFYCpoRFKgEexnPV/EpGHsfzy+2KpY55V1VmpTxDSxRyFBcvGYqlgfhRJO+PWkZCeKVtDHbFwDJM1BR4CTsUK3z8G/FZEKtVq1ADchQUsdhKRB3Q1a5GlNHiKByt6tjDiYRL2mfA01jA9DUBEbsRqUxwNPCYi94Z0XotF5Aqsp/0JIvKeqjar6orQaL0VUNrZ862Hl+W6yK8Trq/xlFDOOeecc84518OFxqG/A88DO2M9YpM9GpPL/BdLAfJ12gqpXgwswxqjdg3reBqPXiY0JO0lIq+KyEHQmrJrNFarYJaI9BeRU7B0LtcAXwATVfV3YRsKPI71qB0LnIulifkMOCZdI1RwMJZubCYwSVXP9kaodSM1bZOInAG8LiJfT06KBBTfBwZh6VmOwj4T7hSRrcN2pgLzgSnAatWxSN0P/1zoNb4FFGGpfJLBiqyQ5ukyYC7Wm35UZJ1bgbfCugclJ6rqrcAgVX1kPe27+4r8OuH6Eg9YOOecc84551wvoKqLsaCFAhNEZKiqxlMCEL8GGoDviMjmofHhIqzo6vlhO95TuncajQWrjhQrpN4CNAHFwNlYL+mbgKHAYaq6v6rOABCRgaHhsl5V/wJsARwK7KqqX1fVOamBrEij9aPAXqq6r6p+uT5e6IZGTCwaGBCRwcAEYBvgbyIyKeW9+wVWp+LIUI/gh1jQ4p/A3ljD4RwsV32HQrwrk9wPERkqIgO/4stz60+yqPZCaA1ox8O054D/ANtinyG5AKraiBXRHgKcIyLFyY2F64vXMupd/Drh+gQPWDjnnHPOOedc7/FfLLf4dlgqmHYBiNCT9g9YMe0jw7TbgBuwmheu9/onlvLraKxIOsC/sQbJH2Mjay5Q1fGq+nhypdBo+QBwRvg7WTj3eVV9P0zLSA1kJRutVXVOuhz2bu1RkxCRKSLyf2HaUlW9ACtcOwK4TUR2j6zzCTAN2FpEBqjq69i5MRhrlBwCPBUWPyas02mwMjqqQkQKReQA4ObwvN5ovZ6ISEG4X5MU7uXh/hCwgENIFSWqWo+N0AM4Ddg4uZKqPgv8EfidqlZFN+gpAnsdv064PsEDFs4555xzzjnXS6hqDfAnbJTFCSFvdGrP6T9hPWx/LCI7h/V+qKqfpqZ6cb1HaBj6NVZY9wQRGQ58iDVOZQI/U9U/RdcRka2BO7Fe1eWR7aRu2xslu1moJfAZcIqInBuZdSmWD34b4Hcisktk3t1heilAaFg8CyuK+yCWAghgMxHp38nzSlhXRSQmItuF57wTG6nxlp8f65a0uRp4V0TyVDW+yhXb1k9+/t8D1AP7hnoWyZRAyYDTR9jnwCTg9JTRFBeo6lO4Xs2vE66v8ICFc84555xzzvUubwH/BxwAHJIsiBtpeFyB1a64MvS6BqxRy3PR926q+iaWFmxfrIDqciy9RyVwiYj8MKTxmSgiZ2HBqwOA64CHu2evXRcNCveVwFXJxmRVrQSuxnrAfw34h4gMC8t+BtQB34ls5wHgTCw1zNVAIzAeyEr3pJH0T+OBc7Ae2j/G8tgPUdXL19Lrc50II2wU2B4LJhy4musne73Pwxqed8DOAVS1JRL8+DaWMvBlbJTFyOh2PKDdN/h1wvUF4t9XnXPOOeecc653CY2LTwMVwPdV9d0QuPAfeH2ciIwE3gOWAsep6kcicgzWC78/dk4Ils9+HnCeqj7aTbvrgpW9P0MP+V8Bp2BpnvbACiefHl1PRO7G0js9g9WmmQn8D6tVcWwIbiS3uR9wP5a7HmA7VX0vzXMPwupcnIqNqHgDODPUxXDrQUi10xLe21ur6mORebHVqTskIpOx3vTjgMuxtF7NwH7Aj4C7gFeAqpBC0PVBfp1wvZ0HLJxzzjnnnHOulwk9YX+I9br+C3BpSBfVYTkPYvQ9InI+cC3WM/bC0Ng5BTgYGIs1UH6kqrdH1lmthk+39iQbpDuZJyEd0ynAb7BAxKXAKGALVf1ERHJVtSE0Qv4S+C4WWDgMG031HWBvVf0iZdvnYufEbap6T5rnnhSecz+gCviRqt67dl61S2dl50JkmdHAwar69zV8jj2wwMRwYAVQjdVBmYoVaZ8elvPPhD7MrxOuN/OAhXPOOeecc871QiIyEOspWwccoqqLu3mX3HoiInnA68BQ4Huq+mTK/NZGJxHJXJ18+G7dCKMorgBeAJ4PjYfR4zQZa1A+FKtJ8U/gRVXdO8xPBjZGAj8DfgC8hKV6uQvYX1WfDTULkkW8s1S1ObIP7QKY4TxaBNygqpes83+CayUiI1R1QZpjlIXVHJgC7KWqL3UlyJFm+5OA47AaJyXAk6p6zVp8Ca6H8+uE6808YOGcc84555xzvZSITE7tVe02DCJyGPAI8CjWGLUipYBy6+Nu3E1Ha4/3Z7CitwuBW1T10pRlNsUCEHcC5wOvAjthPeIfijZsh+DHY8BBwHRgInCHqp7UyfN3aPBONlCGAs/1a/Hluk6E9+QY4Hls5MOOyUZiEfkmMF1VPxaRk4FbgOdUdb/kumv6XhaRHFVtDI+9YXoD4tcJ11t50W3nnHPOOeec66WSwQoRyezufXHrV8hz/yqwFdaDOlq8t91jt/50Urh4HhasqMbSsJwhIv8QkSHJBVT1U6AcGBWO2+/DrD+E+c1iMkKv6B8Dt2PBCoDtRGRUun1K1zs/2WjtwYp1S0S2FZEdobVRuBKrLbANsEeY/yFwH7BnWO42rEbRPiF4AV+h/U5VG0UkFoIeHqzYgPh1wvVWPsLCOeecc84555zrhURkiKou6e79cO1HMaSMhkiOZLgKqzfxNNbD/hrgOaxuxMdh2XuA7VV1fPj7PuAo4GeqenXqSIlQ6+BvwCHAt1T13+vr9bpVE5EtgA+A14D9VLUhTN8UOw8KsKLoHwH/h/WEXxjSee2MnSezga+parXXF3Brwq8TrjfyERbOOeecc84551wvlGyE8hE23SeSUiUZrPgN8IfI6IlkA/MvgOXA/liP5+OAbYFHRGTfsMxCoFREtgt/XwPUAJeLyKBQ9yIj+dyqOhcLaGR4sKLnUdWPgP8CuwAnRmYdAAzDghUvYufC9ao6PxmQUNXXgVuBScBPkpvsyvN2MsrHbaD8OuF6Iw9YOOecc84555xzvZineVn/QnqmWDKdiogcKyLzgQuBFkKgIvSWzwwBjQvC6r9U1XuBb2Ipou4Xke8BL2ON2A1h3feBvwIZwG/CuqmN1o0hF703RvYgkcDSueH+jDAiBuzceBz4EksNVR6OYSxl3Suxoug/FJEpYZnWgFVnIufkgOR5kdy223D5dcL1Jv6B5ZxzzjnnnHPOObcaQur3hIhsKSL/A+4CpgLHAleq6rLIssl6EXcAbwH7icgpqvoicDjwDvAP4BxAgK9FnuqPYbsni8iuqSmBIrnovTGyB0mOhlHV6cB1wJbA6WHen4BvY8e2GAtMEBld0RKCYfPDMv2wETpp65FA+1EVIlIkIodi9U/Oim7bOed6Aw9YOOecc84555xzzq0GEckUkRuA94FS4GzgLFW9LxmsSDYih9EYyREQyR73Pwm55acC3wN+B+wF1GFBC0Kj9TKsvgHAgPXw0txXkDICIjka5mKs2PZ3ReRr0Frs/BHgSSwYtXvqpsL9n7Ai3d8SkQNTnyOSkkxFJENEdgB+BdwJfAtYhnPO9TIesHDOOeecc84555xbPf2AseHxrar6N1X9Is0yydEY8RCAeBNrTJ4InBfmz1PVi4AzsFoHyXoUydETfwJyVPWRdfVi3NoRqWWyGZbKi1Bs+yJgCPDDyLILsToVVVidksxoTZQwQiMOXA1kA5dHnyM8TqZ/moSdT3cA5wP3AYNV9a51+Xqdc25dkPDZ5pxzzjnnnHPOOee6SER2Ax4DXsAaoquBg4DdsNES1cDrwD2q+k5ogG4RkcFYge1aYLdQnDk5oqJD6h4RkWSdCk/91LOJSBFwN7A1cFioQ5Kc9yGwMXB0ski6iOQBfwZOBU5R1VvD9MHARqr6Rvj7V8C9qvp5yvMNAfYFTgN2B14BzlDVz9bl63TOuXXJR1g455xzzjnnnHPORXSluDFWe+JW4BCswfka4HbgaKx3/Vist/vDIVVPskbBUuBSoAhLF0SYnrbOgNep6FWasaDBIODwEMBIOgfIxIpoF0Fraqh/AtOBS0XkIBH5OlZk/V8ickhY7leq+nmkMLeEc+pvwM3ARsCRqrqHByucc72dByycc84555xzzjnnaFcToEVEckTkBBEZFOa1a0MJjc03AXOxugEnY7UopgA7YwGL64CBYf7YyLpXhfWOCQ3UXQ2SuB4spH96EHgZC2JtF5n3Epbua2/gu5HprwJ/wWqUPI6lczoWuFFVH08uF0baJINamcBWwMHAVao6WlUfWnevzDnn1h9PCeWcc84555xzzjkXISLfxopdFwDnqOr1nSyXBXwfOAv4gaq+HKYn0ziNAK4Cjge+paqPiEiOqjaKyDeBB7DC3V/rbISF65lE5BQgB/g/VW2OHHMBjsJG39wPXKyqi8M6o4A5wOdYyqgZYXo+sBMWgKgA/qqq5WGeaJrGOxEZDlSpas06fqnOObde+QgL55xzzjnnnHPOOUBEikXkR8A/sF7szcDRoahxulEWzViv+R8Cb0VGaCTTOC0AXsPaXw4IqzWFeQ9hIzBO82BF7yIik4GfYoWwJ4Ed80hw4SXgX1jgYvfIeTEPC2BNwQJdSfWq+hxwkar+WlXLRSSjs2BF2NZCD1Y45/oiD1g455xzzjnnnHPOmd2BnwE1wJHYKIvdsBQ9aetMhIbj51W1Idq4LCLZ4eHy6H1o2M4Ij89T1fdSAyGuZxCRzJS/YwCq+gXweyAfOD2MkGilqkuAO4BKLDXUhMi8nwMLsFoW+6SsF08+j6q2dBascM65vswviM4555xzzjnnnHOmBmto3klVn8QCFouA40RkF+g4yiIp2Ys+0qjdFGYdEe7fSi6rqi3R9XyERc8SOYbJAMJ2IpKXstiTwNNYPYodwvIaOT8+DPP3Ag5MWf9yLNjRL7ledMN+PjjnNmQesHDOOeecc84555wDVPVF4DJVnRMmTcXSNk0ETgj1JxLJ4ETKuhoNPojIBBH5LfBt4A5V/U8nz+m96HuYyDE8RkSmA88BzwI/jiwzG7gTaATOF5EByXXDCIkyYCGQgZ0Dm0XW/T9gkKo+uH5ekXPO9R4esHDOOeecc84555wLksWOw+M41ij9LpYi6tBVrJ4jIuNF5ALgeqyB+1msR73roSRIPg73x2DBqhXAi8DGwDUiEq098QJwH3ZeHBKKsEdHSCSAd4BdgFNFpDC5oqqWJetUrMvX5pxzvY0HLJxzzjnnnHPOOec6EQpnXwuUAieJyNCU1D9R1wKfAb8ExgOnquohqjpj/e2xWx0ikqmBiGSE+xzgfKx49gmq+g3gEOB94CoR2SGMpinDimtPAy7EAhOISJaIHAmcFebfAbyYWiTb61Q451xH4p+LzjnnnHPOOeecc50TkRLgVuAw4HxV/Wsny+0IHI01bN+VrFURGsJb0q3jegYROROrRfEeMB84Efh+KKCdXOYE4K/A/7d358Ga1fWdx9/f7tvQHTMY1kYU0oggKoMbiqBoEJABBwkKBEQGRxREFtkMBQSsJERZxHQhm0hiWIxYIBAIIi4ghjCRqCwjNIwiIA4G2mFfhG76M3+c39M5XG4Lvd3nNv1+VXU9y9nruVVddT7n+/1+G9gvyYNtuPrHgZOAR+kqLlaiG+A+C9h9dFAhSVowAwtJkiRJkqQXUFVb0A1avo3uJvSdVfV6YOMkF/TWm5JkTntvUDEBtRkTgzkVrwO+DmwMzAVGgKfoBrC/vrVumpJkTlWtAXwe2AvYDbgkybOt1dNewIlAAVOBK4D9k/xq9DElSQtmYCFJkiRJkvQCquoPgL8EDgNmArcDHwXeAfy3JN/prVvgQO2JrKpeDUwBdgJ2Ac6im0mxF/A/gWeBjyS5dtR2WwOn6p5kAAAVEElEQVRnA78Bdkny61H7XBd4OMlP2ncGFZK0EAwsJEmSJEmSFqDNKkh7vxFdO6BVgRXpnsI/NsnM4Z2hFlZVbQr8L+Bi4D3AXyT5clv2cmA/4G/oqilOSPLYoFqmqqYBRwFHA4cCpyaZ2/876R3HChtJWkgO3ZYkSZIkSS8ZVTV5Se6vF1ZsCuwDrEUXVpwGrDkIKwZVFVom3A1cBXwQeBD4e5g/gPsRuiDjWrpqi7dCNyC7VUs8BXwTuIEu1HhdW/68J4INKyRp4RlYSJIkSZKkZV515j/RXlUzqmr1qnrZYPli7Hdz4GvAAcDVdLMNDkzyZFWNjPV0vZa+Rf1N2yDtLwCP0AVQrx0saq+/oGsRtQrwP6pq+qjtbwIuBH4IPLAo5yBJGpuBhSRJkiRJWqYNAoP2FPxrqupC4Pt0T8Ff2+YOjAzWXZh9tyDid8C/A7sm2TrJ7VU1qT1xP9ewYjh61S9TF2HzG4BzgZcB27T9Daoo5gE/AC4CdgW2aH9j83oVPKcn2a6FH5KkJcQZFpIkSZIkaZlXVZOAw4FjgIeBnwFPApsC04BDk5yzqPvuD052NsHE0MKnvwGmAkcmeXoht98Y+BbwK+CTSW7p/9ZV9V7gH4A7gAOS3DHGPvxbkKQlyAoLSZIkSZK0TKuqKcAngYOBS4C9gR2SfAjYApgM7FNV72rrL9T9kN4N7EntszeoJ4ZNgSOAbRY2rGhmAacA7wA+WFVTR1VR/JhunsVWwNpj7cC/BUlasqywkCRJkiRJy7SqWoNucPKzwEFJ7mnfbwN8EXhDW3Y2cHCSp507sewYXeHS+34y8G90g7HfneS6hf1dq2ptulBiFeATSa4etXx9YCTJrMW6CEnSi2KFhSRJkiRJmvCqamRBy5I8AJyYZMck91TV9Kr6BnAV8DRwIHArsDPw/hd5vOq9H6mqFRbrArTQBr9Bq3p42ahlg1ZMF7Sv3tPWXdgQ6tfAycAfAztX1Wpt/4Nqmp8nmdVmlizSkG9J0otnYCFJkiRJkias3o3jue3zB6pqq6raeNRN7Ova8jfQ3cTeDjgR2DvJacBpwKrAHlW1ZpKM1Rqqd5N8MND5jcAhwPYL20pKi6f3GxwJ3FJVu7TP1WvF9BPgUWDDqlpxEY9xFfBPdG3Ftmrfzxu13jwrciRp6fM/WkmSJEmSNHRVtXlVrd7ez79f0ZsfsVtV3Q1cBHwXuAm4tKpe0V+PLqjYAvgccFySm9v3U9vrJsCHRm0zX+8m+dpVtQ9wFnACsBHgE/bjrKreQzdYe13gjKrajOfez/qP9m9bYErbZqF+pyQP0QVa59L9bUmShsTAQpIkSZIkDVVVHUFXIbEPPHfIdWvHdDTwVeCXwFF0T8GfDrwTOKeq3tTWnwLsDjwEnJXk8d5hpgI30g1PPrSqZvSO32//9PKq2hH4EnAmMA3YKslxDlheehZUvZLkWuB24P8A9wPnAx/oLb8d+BmwWv/7RXBNko8medDWT5I0PAYWkiRJkiRp2C4D7gVmj1FdsTawH/AjuoHZX0hyDfBZ4Axga+Cgqlo9yRy6WRVTgLfB/PkTOwHH0AUQBwLHJ7m7d5y09TYHjgPOA/4E2D/Jxu14WoranIr5c0KqM7l9vBj4I7rKmHnAiVX13t7mX2uvm1XVCovSuqlXWTPJ1k+SNDwLHFglSZIkSZI0HtpQ402SzB5j8R7AWsCuSW4BqKqNgO3phmgDzEoyuz0ZfxmwEzCzqi4FVqYLNW4FvpfkrtEHqKr1gF3oKjxm0LUHOrQFIFoK2hyK9D7vB+xdVX+V5DKgP6fiRmB1uvBqF7pqm/Or6v10rcFm0Q3P3hBYEXhmUc9jrDZhkqTxY4WFJEmSJEkauhY4bFlV11XVdgDtCft16IYq31VVK1fV3sCXgeOBO4D1k5zU9hHgCrq2UTOATwN7ArcBu40VVjTb01VW/BLYIMmBhhVLR6ucmDQqrFgDeA3wFuC0qtpgVHBwB92cip2T3ATsDzxON3PivXS/2z10rcKeNwfl9+lVVqxZVast5uVJkhaTgYUkSZIkSZoo1gE2B3auqpXaE/bPACvRtXI6nW4I9prADknel+ROgKparaqmJHkqyZeAjYH/DrwryQeS3DP6JnZvVsFlwJZJtk7yi/G40OVVOvOqasOq+kr77oEkh9HNDXkl8A9V9e7eNj+jm2Hx5qpaNcn1wJ8Ba9D9TUwHrmqr79a2WWClxKiZJX9YVdsCf9eOO3lB20mSlj4DC0mSJEmSNFGcC3yL7mb0ju27S4C5wOF0Q5UPS7JekisGG1XVCHAR3ayLQZufnye5OsmN7bvJo29iD56uT3JPkn9Zupemgao6jq7qZe+q+nRv0bF07bjeApxUVe/sLfvH9v0qAO13PQBYAfgm8Ku23kZVtfICjltt27SB7pu0Y55PV6lxg4PVJWm4DCwkSZIkSdKE0AKEvwamAXtW1VrAzXQhxghwdJKZ/W2q6s10N5zfCjzU28/ofXsjeuJYvb0+AnyuqlYCSPII8Hngb+mGpp9dVa9o694GPAl8pLefi4BP0VXmfB54GliPbuj68/TaP60HHEQXkB1O10ZsepK/WkLXJ0laRAYWkiRJkiRpwkjyI+BMukHZuyb5LV0bqEeAI6tq/zZvYP2qOgCYCWwLnAJcOpyzVl+/5dIYyyYB9wO/oRuYPQ04cbBdkvuSHAlcALyWrk3Tm4D/DdwLvK2qXg7z20tdSTen5GV0A7ffBrxqAcdevap2o5uB8kXgYeAtST6a5NHFvGxJ0hJgYCFJkiRJkiaazwO/BT5eVRsn+RZdu6cRujkHtwE30D2JvzawV5Kjkzw2rBNWp7Xeel6FS1tWrS3XPXThwvl0IcQ+VbVRa9U0ta3+53RzJbYCTgUmA/8MvJFuhsl8Sb4LfBb4LrBHkp+OcewN6IKvs4HXAx9Osnkb4i1JmiBqAf+HSJIkSZIkDU1VHQKcTFdB8Zkkz1bVhsD2wAxgDnBLknN620z6fcOWNT5aFcVxwDXA1e23m//bVNVrgVl0Q9FXoWvN9IMk723Lq4UXrwKOBvYFrqULHL4GvC/J99qA7MEQ7ylJ5vTOofrBSVVNo6vqOKNVcEiSJiADC0mSJEmSNOG0G8zX0z1N/7HW+qe/vH8DfCTJ3CGcpkapqvfQVTqMAPcBf5/k2FHrvIEugDgfOAS4DtgM2DnJxf3woYUflwPbAT8H1gfOS7LXAo4/efS8ksHfR1VNS/LUErxcSdISZksoSZIkSZI04bQby8cC04F9q2oV6J6cH7QW6r03rBiCBcyquJcurHiMrgpmv6o6u6qmD1ZIcivdgPS1WxXEF9qiL7blc9pPO7mFUocD59CFFQCbVNXaY53TWMPVB38fhhWSNPEZWEiSJEmSpAkpyeV0T9+/CegPWs7o9xo/rRUTrW3TlN73I0l+CRwP/BfgDuAk4GPA+VX1X3u7+THd70qSS4ALgXWqatCuadIgfEgyi25GxRVt2V8kuXcpXZ4kaYhsCSVJkiRJkiasqpqe5P5hn4fGnAtxAvAHwHFJ7h+06WqBxm+A1YB3AesApwMPA/u0+RMn0wUZ2yT5cVW9ma5N1DRgrSSzR7d3agO5nzakkqSXLissJEmSJEnShDUIK6pqZNjnsrxq7ZkmDYKCqtq9qn4NfAZ4FpgH0MKKkRYyHNY2/2ySC4AP0rWIurCqPgb8EFgJ+F3b9kbgVGAycELbdnQw8XSr6vBvQZJeoqywkCRJkiRJ0guqqjcCZwKbAt8HzgauTjJ7Aev/G/B24BNJ/q6qXgecAmwFXANsCeyd5Ktt/dWBHwCvA96d5Lqle0WSpInGCgtJkiRJkiQtUFWNVNUZwI3AKsCBwAFJvjEIKwYDuFs1xqAC4tPt9c9ba69ZdG2gTqILK54EBttNavv6Sttm1XG4NEnSBGOFhSRJkiRJkhaoqlYDzgO2BY5KcvwY66yc5KHe58E8i3OBjwAnJDmyt3xfYDZwTZKH+vMxqmpKkjlL+bIkSROQgYUkSZIkSZJ+r6raAricrpXT/sBjwHbAFnTVEo8B1wNfb0O0Jyd5tqrWAO4DngC2SHJL29+kJPPGOE4N5lQkmTsuFydJmjAMLCRJkiRJkpZjg3DhBdaZBnyOLqw4DphO197pMeD/AX/UvrsP+BBwQ69i4qi2zQVJPryULkOS9BJgYCFJkiRJkrQcGtWGaUVgV+DbSWaPVQHRhmZfDrwaeAo4GZgJhG4exQnAJ+mqMD6V5K7etncD6wB/muSyFxOSSJKWPw7dliRJkiRJWg71wopdgQeArwK7tGXPa9cE/AL4W+AOYLskxyZ5EHg4ydN0w7S/AWwDbNz2vWLb9tD2+tkWhhhWSJKex8BCkiRJkiRpOVRVK1XVocDZwAgwB/izqtqgLX/OfaM2CPsSurZQN1RVte/TXv8v8K9095u2bZs905ZdDJwCfGIBYYgkSQYWkiRJkiRJy6l3A0cDjwM7A1+hG6K9O4xdZZHkviRXJ/lden3Gq2qF9va3/dc2QHtye39wkp+ODkIkSRrwPwhJkiRJkqTl0+PAecBmSa6kCyx+A3y4qt4Jz6+yGBhUVwyWJ3mmLdqpvd4wWLff/qnNzbDCQpI0JgMLSZIkSZKk5VCSHwB/meSe9tUsurZN6wN7VtWKSeYNwolR26YfPlTVa6rqRLrB3ecl+ecFHDNjfS9JEkD5/4QkSZIkSZIAquqVwKXAusC+Sb7Zgonn3UCqqqnAK4E/pZtZsTVwJXBQkjvH7aQlSS8ZVlhIkiRJkiQJmD84+2RgFWCvqlqzVVOMdQ/pZOA24LPAesDHk7zfsEKStKhGhn0CkiRJkiRJmlCupKuy2IFuGPepC5g7cR7wDHAj8LXBrIqqmtyfWyFJ0otlSyhJkiRJkiQ9R1VtQRdc3AbsnuTOqno9sHGSC3rrTUkyp703qJAkLRYrLCRJkiRJkjTaT4AzgMOA/avqduCjwDuq6sEk3wFIMmcwlNuwQpK0uKywkCRJkiRJEgD9AdtVtRHwbWBVYEXgceDYJDOHd4aSpJcyKywkSZIkSZKWUUu6DVMvrNgU2ANYqy06DTgiyZNt+fxgQ5KkJcXAQpIkSZIkaRnT2jBN6g26ngE8ATyZ5IlFDRTafjcDzgVeDVwNHJDk9rZ8BHjWsEKStDRMGvYJSJIkSZIk6cUbhBFJnq2q11TVhcD3gRuAa6tqa9pDqoP5Ei9WCyJ+B/w7sGuSrZPcXlWTqmpSkrmGFZKkpcUZFpIkSZIkScuYqpoEHA4cAzwM/Ax4EtgUmAYcmuScRd13knm9z0u07ZQkSQtiSyhJkiRJkqRlSFVNAT4BHAxcApwPXJ1kblWtC9wI7FNVdya5bnQA8UIG6w62M6yQJI0XW0JJkiRJkiQtW1YGtqdr23RMku+0sGIb4DJgJeDtwB5VtWKSeQvbGgr+M7iQJGm8GFhIkiRJkiRNMG249ZiSPACcmGTHJPdU1fSq+gZwFfA0cCBwK7Az8P4XebzqvR+pqhUW6wIkSVoEtoSSJEmSJEmaIHptmOa2zx8AngBmA3cmeaKtel1b/gbgVOCtwInA15PcXFXPAF+mq7K4Psl/jNUaqjfAO+3zG4H3AT+vqsusspAkjScrLCRJkiRJksZZVW1eVau39/Pvz/TmR+xWVXcDFwHfBW4CLq2qV/TXA7YDtgA+BxyX5Ob2/dT2ugnwoVHbzNcLKtauqn2As4ATgI2AhW4jJUnS4jCwkCRJkiRJGkdVdQRdhcQ+8Nwh160d09HAV4FfAkcBWwGnA+8EzqmqN7X1pwC7Aw8BZyV5vHeYqXTDt9cGDq2qGb3j99s/vbyqdgS+BJwJTAO2SnKcw7YlSePNllCSJEmSJEnj6zLgU8DsfpumNhz7j4H9gB8BBye5BaCqbqGbT3EIcFBVHZFkdlXdCqwHvA24qs2+2AE4BjgMWAF4Jsndg4MnSVvv7XSBx17APGD/JGcs/cuXJGlsBhaSJEmSJEnjKMmsqtokyewxFu8BrAXs2gsrNgK2pxuiDTCrhRVFF37sBMysqkuBlYGt6YZufy/JXaMPUFXrAbvQVXjMAE4DDk0yZ8ldpSRJC8+WUJIkSZIkSeOsBQ5bVtV1VbUdQFVNBtYBHgXuqqqVq2pvuuHZxwN3AOsnOantI8AVdG2jZgCfBvYEbgN2GyusaLYHjqNrObVBkgMNKyRJE4EVFpIkSZIkScOxDrA5sHNV/WuSR6vqGWAl4EBgXWBX4G5ghyRXDDasqtWAR5I8BXypqr5NN6/ioSQ3tnXmt5tqn6uFHJcBNyX5l3G5SkmSXqTq/p+SJEmSJEnSeGotnS4H/gTYL8l5VbUVcGVbZQ5wdJKZo7YbAb4HXJzklF4Q0V9nskOzJUnLGltCSZIkSZIkDUELGf4amAbsWVVrATcD36LrijFWWPFm4HzgrcBDvf2M3rdhhSRpmWNgIUmSJEmSNCRJfgScSTcoe9ckvwXOAh4Bjqyq/atqzapav6oOAGYC2wKnAJcO56wlSVo6bAklSZIkSZI0RFX1KuCnwAPAh5PcUlW7AacBKwMPAwX8IXAvcHCSy4Z0upIkLTUGFpIkSZIkSUNWVYcAJ9NVUHwmybNVtSGwPTCDbp7FLUnO6W3znKHakiQt6wwsJEmSJEmShqyqpgHXA2sCH0ty5ajl88OJqhpJMncIpylJ0lLlDAtJkiRJkqQhS/IUcCwwHdi3qlYBqCbJvN57wwpJ0kuSFRaSJEmSJEkTRFX9EFgH2DLJXcM+H0mSxpOBhSRJkiRJ0gRRVdOT3D/s85AkaRgMLCRJkiRJkiYY51RIkpZHBhaSJEmSJEmSJGnoHLotSZIkSZIkSZKGzsBCkiRJkiRJkiQNnYGFJEmSJEmSJEkaOgMLSZIkSZIkSZI0dAYWkiRJkiRJkiRp6AwsJEmSJEmSJEnS0BlYSJIkSZIkSZKkoTOwkCRJkiRJkiRJQ2dgIUmSJEmSJEmShs7AQpIkSZIkSZIkDZ2BhSRJkiRJkiRJGjoDC0mSJEmSJEmSNHQGFpIkSZIkSZIkaegMLCRJkiRJkiRJ0tAZWEiSJEmSJEmSpKEzsJAkSZIkSZIkSUNnYCFJkiRJkiRJkobOwEKSJEmSJEmSJA2dgYUkSZIkSZIkSRo6AwtJkiRJkiRJkjR0BhaSJEmSJEmSJGnoDCwkSZIkSZIkSdLQ/X8M5m5CgZsLEAAAAABJRU5ErkJggg==",
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",
       "text/plain": [
        "<Figure size 1600x1600 with 4 Axes>"
       ]
@@ -386,11 +389,11 @@
      "text": [
       "                  Turbine | Efficiency | Rotor Diameter (m) | Hub Height (m) |    TSR | Air Density (ρ) | Tilt (º)\n",
       "------------------------------------------------------------------------------------------------------------------\n",
-      "        iea_15MW_floating |       1.00 |             242.24 |          150.0 |    8.0 |           1.225 |    6.000\n",
+      "                 nrel_5MW |       0.94 |             125.88 |           90.0 |    8.0 |           1.225 |    5.000\n",
+      "                 iea_10MW |       0.94 |             198.00 |          119.0 |    8.0 |           1.225 |    6.000\n",
       " iea_15MW_multi_dim_cp_ct |       1.00 |             242.24 |          150.0 |    8.0 |           1.225 |    6.000\n",
-      "                 iea_15MW |       1.00 |             242.24 |          150.0 |    8.0 |           1.225 |    6.000\n",
-      "                 nrel_5MW |       1.00 |             126.00 |           90.0 |    8.0 |           1.225 |    5.000\n",
-      "                 iea_10MW |       1.00 |             198.00 |          119.0 |    8.0 |           1.225 |    6.000\n"
+      "        iea_15MW_floating |       1.00 |             242.24 |          150.0 |    8.0 |           1.225 |    6.000\n",
+      "                 iea_15MW |       1.00 |             242.24 |          150.0 |    8.0 |           1.225 |    6.000\n"
      ]
     }
    ],
diff --git a/examples/18_check_turbine.py b/examples/18_check_turbine.py
index 738cfa8c1..d35594ae4 100644
--- a/examples/18_check_turbine.py
+++ b/examples/18_check_turbine.py
@@ -47,18 +47,6 @@
     if t.suffix == ".yaml" and ("multi_dim" not in t.stem)
 ]
 
-# TEMPORARY
-print(turbines)
-turbines = [
-    t for t in turbines
-    if "converted" not in t
-    if "updated" not in t
-    if "legacy" not in t
-    if t != "x_20MW"
-]
-print(turbines)
-# END TEMPORARY
-
 # Declare a set of figures for comparing cp and ct across models
 fig_pow_ct, axarr_pow_ct = plt.subplots(2,1,sharex=True,figsize=(10,10))
 
diff --git a/examples/32_plot_velocity_deficit_profiles.py b/examples/32_plot_velocity_deficit_profiles.py
index 9b12dcc4e..a99dff965 100644
--- a/examples/32_plot_velocity_deficit_profiles.py
+++ b/examples/32_plot_velocity_deficit_profiles.py
@@ -64,7 +64,7 @@ def annotate_coordinate_system(x_origin, y_origin, quiver_length):
     plt.text(x[1], y[1], '$x_2$', bbox={'facecolor': 'white'})
 
 if __name__ == '__main__':
-    D = 126.0 # Turbine diameter
+    D = 125.88 # Turbine diameter
     hub_height = 90.0
     homogeneous_wind_speed = 8.0
 
diff --git a/examples/inputs_floating/turbine_files/nrel_5MW_fixed.yaml b/examples/inputs_floating/turbine_files/nrel_5MW_fixed.yaml
index af36a9bfa..917696d90 100644
--- a/examples/inputs_floating/turbine_files/nrel_5MW_fixed.yaml
+++ b/examples/inputs_floating/turbine_files/nrel_5MW_fixed.yaml
@@ -1,7 +1,7 @@
 turbine_type: 'nrel_5MW_floating'
-generator_efficiency: 1.0
+generator_efficiency: 0.944
 hub_height: 90.0
-rotor_diameter: 126.0
+rotor_diameter: 125.88
 TSR: 8.0
 correct_cp_ct_for_tilt: True # Apply tilt correction to cp/ct
 power_thrust_table:
@@ -12,158 +12,167 @@ power_thrust_table:
   power:
     - 0.0
     - 0.0
-    - 0.0
-    - 36.722155848902254
-    - 94.65678115354163
-    - 170.596391826316
-    - 267.74933496419163
-    - 387.64681352354114
-    - 533.9617151673435
-    - 707.4062402827329
-    - 909.9965782677073
-    - 1142.7197798534328
-    - 1407.4994184495558
-    - 1707.1272243371227
-    - 2047.3355806543098
-    - 2430.5778091805637
-    - 2858.3081150622215
-    - 3329.100627354195
-    - 3842.9755943182267
-    - 4403.86140594055
-    - 4999.993508066915
-    - 4999.99850473839
-    - 4999.997854617397
-    - 5000.00304890274
-    - 5000.002113339491
-    - 4999.997282778227
-    - 5000.002243172759
-    - 5000.000360590384
-    - 5000.009074693787
-    - 4999.987262704901
-    - 5000.007345811091
-    - 5000.006875165497
-    - 4999.994990648268
-    - 4999.97705933755
-    - 4999.983698972648
-    - 4999.991318085188
-    - 5000.024022703328
-    - 5000.016589748782
-    - 5000.025709581146
-    - 4999.944891236294
-    - 5000.035324880168
-    - 4999.967955734346
-    - 5000.013248451465
-    - 5000.063199891701
-    - 5000.068982245371
-    - 4999.9325188896555
-    - 5000.011035557985
-    - 5000.012771123277
-    - 4717.243379938609
+    - 40.518011517569214
+    - 177.67162506419703
+    - 403.900880943964
+    - 737.5889584824021
+    - 1187.1774030611875
+    - 1239.245945375778
+    - 1292.5184293723503
+    - 1347.3213147477102
+    - 1403.2573725578948
+    - 1460.7011898730707
+    - 1519.6419125979983
+    - 1580.174365096404
+    - 1642.1103166918167
+    - 1705.758292831
+    - 1771.1659528893977
+    - 2518.553107505315
+    - 3448.381605840943
+    - 3552.140809000129
+    - 3657.9545431794127
+    - 3765.121299313842
+    - 3873.928844315059
+    - 3984.4800226955504
+    - 4096.582833096852
+    - 4210.721306623712
+    - 4326.154305853405
+    - 4443.395565353604
+    - 4562.497934188341
+    - 4683.419890251577
+    - 4806.164748311019
+    - 4929.931918769215
+    - 5000.920541636473
+    - 5000.155331018289
+    - 4999.981249947396
+    - 4999.95577837709
+    - 4999.977954833183
+    - 4999.99729673573
+    - 5000.00107322333
+    - 5000.006250888532
+    - 5000.005783964932
+    - 5000.0180481355455
+    - 5000.00295266134
+    - 5000.015689533812
+    - 5000.027006739212
+    - 5000.015694513332
+    - 5000.037874470919
+    - 5000.021829556129
+    - 5000.047786595209
+    - 5000.006722827633
+    - 5000.003398457957
+    - 5000.044012521576
     - 0.0
     - 0.0
   thrust_coefficient:
     - 0.0
     - 0.0
-    - 0.0
-    - 0.99
-    - 0.99
-    - 0.97373036
-    - 0.92826162
-    - 0.89210543
-    - 0.86100905
-    - 0.835423
-    - 0.81237673
-    - 0.79225789
-    - 0.77584769
-    - 0.7629228
-    - 0.76156073
-    - 0.76261984
-    - 0.76169723
-    - 0.75232027
-    - 0.74026851
-    - 0.72987175
-    - 0.70701647
-    - 0.54054532
-    - 0.45509459
-    - 0.39343381
-    - 0.34250785
-    - 0.30487242
-    - 0.27164979
-    - 0.24361964
-    - 0.21973831
-    - 0.19918151
-    - 0.18131868
-    - 0.16537679
-    - 0.15103727
-    - 0.13998636
-    - 0.1289037
-    - 0.11970413
-    - 0.11087113
-    - 0.10339901
-    - 0.09617888
-    - 0.09009926
-    - 0.08395078
-    - 0.0791188
-    - 0.07448356
-    - 0.07050731
-    - 0.06684119
-    - 0.06345518
-    - 0.06032267
-    - 0.05741999
-    - 0.05472609
+    - 1.132034888
+    - 0.999470963
+    - 0.917697381
+    - 0.860849503
+    - 0.815371198
+    - 0.811614904
+    - 0.807939328
+    - 0.80443352
+    - 0.800993851
+    - 0.79768116
+    - 0.794529244
+    - 0.791495834
+    - 0.788560434
+    - 0.787217182
+    - 0.787127977
+    - 0.785839257
+    - 0.783812219
+    - 0.783568108
+    - 0.783328285
+    - 0.781194418
+    - 0.777292539
+    - 0.773464375
+    - 0.769690236
+    - 0.766001924
+    - 0.762348072
+    - 0.758760824
+    - 0.755242872
+    - 0.751792927
+    - 0.748434131
+    - 0.745113997
+    - 0.717806682
+    - 0.672204789
+    - 0.63831272
+    - 0.610176496
+    - 0.585456847
+    - 0.563222111
+    - 0.542912273
+    - 0.399312061
+    - 0.310517829
+    - 0.248633226
+    - 0.203543725
+    - 0.169616419
+    - 0.143478955
+    - 0.122938861
+    - 0.106515296
+    - 0.093026095
+    - 0.081648606
+    - 0.072197368
+    - 0.064388275
+    - 0.057782745
     - 0.0
     - 0.0
   wind_speed:
     - 0.0
-    - 2.0
-    - 2.5
+    - 2.9
     - 3.0
-    - 3.5
     - 4.0
-    - 4.5
     - 5.0
-    - 5.5
     - 6.0
-    - 6.5
     - 7.0
+    - 7.1
+    - 7.2
+    - 7.3
+    - 7.4
     - 7.5
+    - 7.6
+    - 7.7
+    - 7.8
+    - 7.9
     - 8.0
-    - 8.5
     - 9.0
-    - 9.5
     - 10.0
+    - 10.1
+    - 10.2
+    - 10.3
+    - 10.4
     - 10.5
+    - 10.6
+    - 10.7
+    - 10.8
+    - 10.9
     - 11.0
+    - 11.1
+    - 11.2
+    - 11.3
+    - 11.4
     - 11.5
+    - 11.6
+    - 11.7
+    - 11.8
+    - 11.9
     - 12.0
-    - 12.5
     - 13.0
-    - 13.5
     - 14.0
-    - 14.5
     - 15.0
-    - 15.5
     - 16.0
-    - 16.5
     - 17.0
-    - 17.5
     - 18.0
-    - 18.5
     - 19.0
-    - 19.5
     - 20.0
-    - 20.5
     - 21.0
-    - 21.5
     - 22.0
-    - 22.5
     - 23.0
-    - 23.5
     - 24.0
-    - 24.5
     - 25.0
-    - 25.01
-    - 25.02
+    - 25.1
     - 50.0
 floating_tilt_table:
   tilt:
diff --git a/examples/inputs_floating/turbine_files/nrel_5MW_floating.yaml b/examples/inputs_floating/turbine_files/nrel_5MW_floating.yaml
index c2b9675de..1ebee827a 100644
--- a/examples/inputs_floating/turbine_files/nrel_5MW_floating.yaml
+++ b/examples/inputs_floating/turbine_files/nrel_5MW_floating.yaml
@@ -1,7 +1,7 @@
 turbine_type: 'nrel_5MW_floating'
-generator_efficiency: 1.0
+generator_efficiency: 0.944
 hub_height: 90.0
-rotor_diameter: 126.0
+rotor_diameter: 125.88
 TSR: 8.0
 correct_cp_ct_for_tilt: True # Apply tilt correction to cp/ct
 power_thrust_table:
@@ -12,158 +12,167 @@ power_thrust_table:
   power:
     - 0.0
     - 0.0
-    - 0.0
-    - 36.722155848902254
-    - 94.65678115354163
-    - 170.596391826316
-    - 267.74933496419163
-    - 387.64681352354114
-    - 533.9617151673435
-    - 707.4062402827329
-    - 909.9965782677073
-    - 1142.7197798534328
-    - 1407.4994184495558
-    - 1707.1272243371227
-    - 2047.3355806543098
-    - 2430.5778091805637
-    - 2858.3081150622215
-    - 3329.100627354195
-    - 3842.9755943182267
-    - 4403.86140594055
-    - 4999.993508066915
-    - 4999.99850473839
-    - 4999.997854617397
-    - 5000.00304890274
-    - 5000.002113339491
-    - 4999.997282778227
-    - 5000.002243172759
-    - 5000.000360590384
-    - 5000.009074693787
-    - 4999.987262704901
-    - 5000.007345811091
-    - 5000.006875165497
-    - 4999.994990648268
-    - 4999.97705933755
-    - 4999.983698972648
-    - 4999.991318085188
-    - 5000.024022703328
-    - 5000.016589748782
-    - 5000.025709581146
-    - 4999.944891236294
-    - 5000.035324880168
-    - 4999.967955734346
-    - 5000.013248451465
-    - 5000.063199891701
-    - 5000.068982245371
-    - 4999.9325188896555
-    - 5000.011035557985
-    - 5000.012771123277
-    - 4717.243379938609
+    - 40.518011517569214
+    - 177.67162506419703
+    - 403.900880943964
+    - 737.5889584824021
+    - 1187.1774030611875
+    - 1239.245945375778
+    - 1292.5184293723503
+    - 1347.3213147477102
+    - 1403.2573725578948
+    - 1460.7011898730707
+    - 1519.6419125979983
+    - 1580.174365096404
+    - 1642.1103166918167
+    - 1705.758292831
+    - 1771.1659528893977
+    - 2518.553107505315
+    - 3448.381605840943
+    - 3552.140809000129
+    - 3657.9545431794127
+    - 3765.121299313842
+    - 3873.928844315059
+    - 3984.4800226955504
+    - 4096.582833096852
+    - 4210.721306623712
+    - 4326.154305853405
+    - 4443.395565353604
+    - 4562.497934188341
+    - 4683.419890251577
+    - 4806.164748311019
+    - 4929.931918769215
+    - 5000.920541636473
+    - 5000.155331018289
+    - 4999.981249947396
+    - 4999.95577837709
+    - 4999.977954833183
+    - 4999.99729673573
+    - 5000.00107322333
+    - 5000.006250888532
+    - 5000.005783964932
+    - 5000.0180481355455
+    - 5000.00295266134
+    - 5000.015689533812
+    - 5000.027006739212
+    - 5000.015694513332
+    - 5000.037874470919
+    - 5000.021829556129
+    - 5000.047786595209
+    - 5000.006722827633
+    - 5000.003398457957
+    - 5000.044012521576
     - 0.0
     - 0.0
   thrust_coefficient:
     - 0.0
     - 0.0
-    - 0.0
-    - 0.99
-    - 0.99
-    - 0.97373036
-    - 0.92826162
-    - 0.89210543
-    - 0.86100905
-    - 0.835423
-    - 0.81237673
-    - 0.79225789
-    - 0.77584769
-    - 0.7629228
-    - 0.76156073
-    - 0.76261984
-    - 0.76169723
-    - 0.75232027
-    - 0.74026851
-    - 0.72987175
-    - 0.70701647
-    - 0.54054532
-    - 0.45509459
-    - 0.39343381
-    - 0.34250785
-    - 0.30487242
-    - 0.27164979
-    - 0.24361964
-    - 0.21973831
-    - 0.19918151
-    - 0.18131868
-    - 0.16537679
-    - 0.15103727
-    - 0.13998636
-    - 0.1289037
-    - 0.11970413
-    - 0.11087113
-    - 0.10339901
-    - 0.09617888
-    - 0.09009926
-    - 0.08395078
-    - 0.0791188
-    - 0.07448356
-    - 0.07050731
-    - 0.06684119
-    - 0.06345518
-    - 0.06032267
-    - 0.05741999
-    - 0.05472609
+    - 1.132034888
+    - 0.999470963
+    - 0.917697381
+    - 0.860849503
+    - 0.815371198
+    - 0.811614904
+    - 0.807939328
+    - 0.80443352
+    - 0.800993851
+    - 0.79768116
+    - 0.794529244
+    - 0.791495834
+    - 0.788560434
+    - 0.787217182
+    - 0.787127977
+    - 0.785839257
+    - 0.783812219
+    - 0.783568108
+    - 0.783328285
+    - 0.781194418
+    - 0.777292539
+    - 0.773464375
+    - 0.769690236
+    - 0.766001924
+    - 0.762348072
+    - 0.758760824
+    - 0.755242872
+    - 0.751792927
+    - 0.748434131
+    - 0.745113997
+    - 0.717806682
+    - 0.672204789
+    - 0.63831272
+    - 0.610176496
+    - 0.585456847
+    - 0.563222111
+    - 0.542912273
+    - 0.399312061
+    - 0.310517829
+    - 0.248633226
+    - 0.203543725
+    - 0.169616419
+    - 0.143478955
+    - 0.122938861
+    - 0.106515296
+    - 0.093026095
+    - 0.081648606
+    - 0.072197368
+    - 0.064388275
+    - 0.057782745
     - 0.0
     - 0.0
   wind_speed:
     - 0.0
-    - 2.0
-    - 2.5
+    - 2.9
     - 3.0
-    - 3.5
     - 4.0
-    - 4.5
     - 5.0
-    - 5.5
     - 6.0
-    - 6.5
     - 7.0
+    - 7.1
+    - 7.2
+    - 7.3
+    - 7.4
     - 7.5
+    - 7.6
+    - 7.7
+    - 7.8
+    - 7.9
     - 8.0
-    - 8.5
     - 9.0
-    - 9.5
     - 10.0
+    - 10.1
+    - 10.2
+    - 10.3
+    - 10.4
     - 10.5
+    - 10.6
+    - 10.7
+    - 10.8
+    - 10.9
     - 11.0
+    - 11.1
+    - 11.2
+    - 11.3
+    - 11.4
     - 11.5
+    - 11.6
+    - 11.7
+    - 11.8
+    - 11.9
     - 12.0
-    - 12.5
     - 13.0
-    - 13.5
     - 14.0
-    - 14.5
     - 15.0
-    - 15.5
     - 16.0
-    - 16.5
     - 17.0
-    - 17.5
     - 18.0
-    - 18.5
     - 19.0
-    - 19.5
     - 20.0
-    - 20.5
     - 21.0
-    - 21.5
     - 22.0
-    - 22.5
     - 23.0
-    - 23.5
     - 24.0
-    - 24.5
     - 25.0
-    - 25.01
-    - 25.02
+    - 25.1
     - 50.0
 floating_tilt_table:
   tilt:
diff --git a/examples/inputs_floating/turbine_files/nrel_5MW_floating_defined_floating.yaml b/examples/inputs_floating/turbine_files/nrel_5MW_floating_defined_floating.yaml
index ee8232b2c..8b40f916b 100644
--- a/examples/inputs_floating/turbine_files/nrel_5MW_floating_defined_floating.yaml
+++ b/examples/inputs_floating/turbine_files/nrel_5MW_floating_defined_floating.yaml
@@ -1,7 +1,7 @@
 turbine_type: 'nrel_5MW_floating'
-generator_efficiency: 1.0
+generator_efficiency: 0.944
 hub_height: 90.0
-rotor_diameter: 126.0
+rotor_diameter: 125.88
 TSR: 8.0
 correct_cp_ct_for_tilt: False # Do not apply tilt correction to cp/ct
 power_thrust_table:
@@ -12,158 +12,167 @@ power_thrust_table:
   power:
     - 0.0
     - 0.0
-    - 0.0
-    - 36.722155848902254
-    - 94.65678115354163
-    - 170.596391826316
-    - 267.74933496419163
-    - 387.64681352354114
-    - 533.9617151673435
-    - 707.4062402827329
-    - 909.9965782677073
-    - 1142.7197798534328
-    - 1407.4994184495558
-    - 1707.1272243371227
-    - 2047.3355806543098
-    - 2430.5778091805637
-    - 2858.3081150622215
-    - 3329.100627354195
-    - 3842.9755943182267
-    - 4403.86140594055
-    - 4999.993508066915
-    - 4999.99850473839
-    - 4999.997854617397
-    - 5000.00304890274
-    - 5000.002113339491
-    - 4999.997282778227
-    - 5000.002243172759
-    - 5000.000360590384
-    - 5000.009074693787
-    - 4999.987262704901
-    - 5000.007345811091
-    - 5000.006875165497
-    - 4999.994990648268
-    - 4999.97705933755
-    - 4999.983698972648
-    - 4999.991318085188
-    - 5000.024022703328
-    - 5000.016589748782
-    - 5000.025709581146
-    - 4999.944891236294
-    - 5000.035324880168
-    - 4999.967955734346
-    - 5000.013248451465
-    - 5000.063199891701
-    - 5000.068982245371
-    - 4999.9325188896555
-    - 5000.011035557985
-    - 5000.012771123277
-    - 4717.243379938609
+    - 40.518011517569214
+    - 177.67162506419703
+    - 403.900880943964
+    - 737.5889584824021
+    - 1187.1774030611875
+    - 1239.245945375778
+    - 1292.5184293723503
+    - 1347.3213147477102
+    - 1403.2573725578948
+    - 1460.7011898730707
+    - 1519.6419125979983
+    - 1580.174365096404
+    - 1642.1103166918167
+    - 1705.758292831
+    - 1771.1659528893977
+    - 2518.553107505315
+    - 3448.381605840943
+    - 3552.140809000129
+    - 3657.9545431794127
+    - 3765.121299313842
+    - 3873.928844315059
+    - 3984.4800226955504
+    - 4096.582833096852
+    - 4210.721306623712
+    - 4326.154305853405
+    - 4443.395565353604
+    - 4562.497934188341
+    - 4683.419890251577
+    - 4806.164748311019
+    - 4929.931918769215
+    - 5000.920541636473
+    - 5000.155331018289
+    - 4999.981249947396
+    - 4999.95577837709
+    - 4999.977954833183
+    - 4999.99729673573
+    - 5000.00107322333
+    - 5000.006250888532
+    - 5000.005783964932
+    - 5000.0180481355455
+    - 5000.00295266134
+    - 5000.015689533812
+    - 5000.027006739212
+    - 5000.015694513332
+    - 5000.037874470919
+    - 5000.021829556129
+    - 5000.047786595209
+    - 5000.006722827633
+    - 5000.003398457957
+    - 5000.044012521576
     - 0.0
     - 0.0
   thrust_coefficient:
     - 0.0
     - 0.0
-    - 0.0
-    - 0.99
-    - 0.99
-    - 0.97373036
-    - 0.92826162
-    - 0.89210543
-    - 0.86100905
-    - 0.835423
-    - 0.81237673
-    - 0.79225789
-    - 0.77584769
-    - 0.7629228
-    - 0.76156073
-    - 0.76261984
-    - 0.76169723
-    - 0.75232027
-    - 0.74026851
-    - 0.72987175
-    - 0.70701647
-    - 0.54054532
-    - 0.45509459
-    - 0.39343381
-    - 0.34250785
-    - 0.30487242
-    - 0.27164979
-    - 0.24361964
-    - 0.21973831
-    - 0.19918151
-    - 0.18131868
-    - 0.16537679
-    - 0.15103727
-    - 0.13998636
-    - 0.1289037
-    - 0.11970413
-    - 0.11087113
-    - 0.10339901
-    - 0.09617888
-    - 0.09009926
-    - 0.08395078
-    - 0.0791188
-    - 0.07448356
-    - 0.07050731
-    - 0.06684119
-    - 0.06345518
-    - 0.06032267
-    - 0.05741999
-    - 0.05472609
+    - 1.132034888
+    - 0.999470963
+    - 0.917697381
+    - 0.860849503
+    - 0.815371198
+    - 0.811614904
+    - 0.807939328
+    - 0.80443352
+    - 0.800993851
+    - 0.79768116
+    - 0.794529244
+    - 0.791495834
+    - 0.788560434
+    - 0.787217182
+    - 0.787127977
+    - 0.785839257
+    - 0.783812219
+    - 0.783568108
+    - 0.783328285
+    - 0.781194418
+    - 0.777292539
+    - 0.773464375
+    - 0.769690236
+    - 0.766001924
+    - 0.762348072
+    - 0.758760824
+    - 0.755242872
+    - 0.751792927
+    - 0.748434131
+    - 0.745113997
+    - 0.717806682
+    - 0.672204789
+    - 0.63831272
+    - 0.610176496
+    - 0.585456847
+    - 0.563222111
+    - 0.542912273
+    - 0.399312061
+    - 0.310517829
+    - 0.248633226
+    - 0.203543725
+    - 0.169616419
+    - 0.143478955
+    - 0.122938861
+    - 0.106515296
+    - 0.093026095
+    - 0.081648606
+    - 0.072197368
+    - 0.064388275
+    - 0.057782745
     - 0.0
     - 0.0
   wind_speed:
     - 0.0
-    - 2.0
-    - 2.5
+    - 2.9
     - 3.0
-    - 3.5
     - 4.0
-    - 4.5
     - 5.0
-    - 5.5
     - 6.0
-    - 6.5
     - 7.0
+    - 7.1
+    - 7.2
+    - 7.3
+    - 7.4
     - 7.5
+    - 7.6
+    - 7.7
+    - 7.8
+    - 7.9
     - 8.0
-    - 8.5
     - 9.0
-    - 9.5
     - 10.0
+    - 10.1
+    - 10.2
+    - 10.3
+    - 10.4
     - 10.5
+    - 10.6
+    - 10.7
+    - 10.8
+    - 10.9
     - 11.0
+    - 11.1
+    - 11.2
+    - 11.3
+    - 11.4
     - 11.5
+    - 11.6
+    - 11.7
+    - 11.8
+    - 11.9
     - 12.0
-    - 12.5
     - 13.0
-    - 13.5
     - 14.0
-    - 14.5
     - 15.0
-    - 15.5
     - 16.0
-    - 16.5
     - 17.0
-    - 17.5
     - 18.0
-    - 18.5
     - 19.0
-    - 19.5
     - 20.0
-    - 20.5
     - 21.0
-    - 21.5
     - 22.0
-    - 22.5
     - 23.0
-    - 23.5
     - 24.0
-    - 24.5
     - 25.0
-    - 25.01
-    - 25.02
+    - 25.1
     - 50.0
 floating_tilt_table:
   tilt:
diff --git a/examples/inputs_floating/turbine_files/nrel_5MW_floating_fixedtilt15.yaml b/examples/inputs_floating/turbine_files/nrel_5MW_floating_fixedtilt15.yaml
index 60460f641..fa5e1f824 100644
--- a/examples/inputs_floating/turbine_files/nrel_5MW_floating_fixedtilt15.yaml
+++ b/examples/inputs_floating/turbine_files/nrel_5MW_floating_fixedtilt15.yaml
@@ -1,7 +1,7 @@
 turbine_type: 'nrel_5MW_floating'
-generator_efficiency: 1.0
+generator_efficiency: 0.944
 hub_height: 90.0
-rotor_diameter: 126.0
+rotor_diameter: 125.88
 TSR: 8.0
 correct_cp_ct_for_tilt: True # Apply tilt correction to cp/ct
 power_thrust_table:
@@ -12,158 +12,167 @@ power_thrust_table:
   power:
     - 0.0
     - 0.0
-    - 0.0
-    - 36.722155848902254
-    - 94.65678115354163
-    - 170.596391826316
-    - 267.74933496419163
-    - 387.64681352354114
-    - 533.9617151673435
-    - 707.4062402827329
-    - 909.9965782677073
-    - 1142.7197798534328
-    - 1407.4994184495558
-    - 1707.1272243371227
-    - 2047.3355806543098
-    - 2430.5778091805637
-    - 2858.3081150622215
-    - 3329.100627354195
-    - 3842.9755943182267
-    - 4403.86140594055
-    - 4999.993508066915
-    - 4999.99850473839
-    - 4999.997854617397
-    - 5000.00304890274
-    - 5000.002113339491
-    - 4999.997282778227
-    - 5000.002243172759
-    - 5000.000360590384
-    - 5000.009074693787
-    - 4999.987262704901
-    - 5000.007345811091
-    - 5000.006875165497
-    - 4999.994990648268
-    - 4999.97705933755
-    - 4999.983698972648
-    - 4999.991318085188
-    - 5000.024022703328
-    - 5000.016589748782
-    - 5000.025709581146
-    - 4999.944891236294
-    - 5000.035324880168
-    - 4999.967955734346
-    - 5000.013248451465
-    - 5000.063199891701
-    - 5000.068982245371
-    - 4999.9325188896555
-    - 5000.011035557985
-    - 5000.012771123277
-    - 4717.243379938609
+    - 40.518011517569214
+    - 177.67162506419703
+    - 403.900880943964
+    - 737.5889584824021
+    - 1187.1774030611875
+    - 1239.245945375778
+    - 1292.5184293723503
+    - 1347.3213147477102
+    - 1403.2573725578948
+    - 1460.7011898730707
+    - 1519.6419125979983
+    - 1580.174365096404
+    - 1642.1103166918167
+    - 1705.758292831
+    - 1771.1659528893977
+    - 2518.553107505315
+    - 3448.381605840943
+    - 3552.140809000129
+    - 3657.9545431794127
+    - 3765.121299313842
+    - 3873.928844315059
+    - 3984.4800226955504
+    - 4096.582833096852
+    - 4210.721306623712
+    - 4326.154305853405
+    - 4443.395565353604
+    - 4562.497934188341
+    - 4683.419890251577
+    - 4806.164748311019
+    - 4929.931918769215
+    - 5000.920541636473
+    - 5000.155331018289
+    - 4999.981249947396
+    - 4999.95577837709
+    - 4999.977954833183
+    - 4999.99729673573
+    - 5000.00107322333
+    - 5000.006250888532
+    - 5000.005783964932
+    - 5000.0180481355455
+    - 5000.00295266134
+    - 5000.015689533812
+    - 5000.027006739212
+    - 5000.015694513332
+    - 5000.037874470919
+    - 5000.021829556129
+    - 5000.047786595209
+    - 5000.006722827633
+    - 5000.003398457957
+    - 5000.044012521576
     - 0.0
     - 0.0
   thrust_coefficient:
     - 0.0
     - 0.0
-    - 0.0
-    - 0.99
-    - 0.99
-    - 0.97373036
-    - 0.92826162
-    - 0.89210543
-    - 0.86100905
-    - 0.835423
-    - 0.81237673
-    - 0.79225789
-    - 0.77584769
-    - 0.7629228
-    - 0.76156073
-    - 0.76261984
-    - 0.76169723
-    - 0.75232027
-    - 0.74026851
-    - 0.72987175
-    - 0.70701647
-    - 0.54054532
-    - 0.45509459
-    - 0.39343381
-    - 0.34250785
-    - 0.30487242
-    - 0.27164979
-    - 0.24361964
-    - 0.21973831
-    - 0.19918151
-    - 0.18131868
-    - 0.16537679
-    - 0.15103727
-    - 0.13998636
-    - 0.1289037
-    - 0.11970413
-    - 0.11087113
-    - 0.10339901
-    - 0.09617888
-    - 0.09009926
-    - 0.08395078
-    - 0.0791188
-    - 0.07448356
-    - 0.07050731
-    - 0.06684119
-    - 0.06345518
-    - 0.06032267
-    - 0.05741999
-    - 0.05472609
+    - 1.132034888
+    - 0.999470963
+    - 0.917697381
+    - 0.860849503
+    - 0.815371198
+    - 0.811614904
+    - 0.807939328
+    - 0.80443352
+    - 0.800993851
+    - 0.79768116
+    - 0.794529244
+    - 0.791495834
+    - 0.788560434
+    - 0.787217182
+    - 0.787127977
+    - 0.785839257
+    - 0.783812219
+    - 0.783568108
+    - 0.783328285
+    - 0.781194418
+    - 0.777292539
+    - 0.773464375
+    - 0.769690236
+    - 0.766001924
+    - 0.762348072
+    - 0.758760824
+    - 0.755242872
+    - 0.751792927
+    - 0.748434131
+    - 0.745113997
+    - 0.717806682
+    - 0.672204789
+    - 0.63831272
+    - 0.610176496
+    - 0.585456847
+    - 0.563222111
+    - 0.542912273
+    - 0.399312061
+    - 0.310517829
+    - 0.248633226
+    - 0.203543725
+    - 0.169616419
+    - 0.143478955
+    - 0.122938861
+    - 0.106515296
+    - 0.093026095
+    - 0.081648606
+    - 0.072197368
+    - 0.064388275
+    - 0.057782745
     - 0.0
     - 0.0
   wind_speed:
     - 0.0
-    - 2.0
-    - 2.5
+    - 2.9
     - 3.0
-    - 3.5
     - 4.0
-    - 4.5
     - 5.0
-    - 5.5
     - 6.0
-    - 6.5
     - 7.0
+    - 7.1
+    - 7.2
+    - 7.3
+    - 7.4
     - 7.5
+    - 7.6
+    - 7.7
+    - 7.8
+    - 7.9
     - 8.0
-    - 8.5
     - 9.0
-    - 9.5
     - 10.0
+    - 10.1
+    - 10.2
+    - 10.3
+    - 10.4
     - 10.5
+    - 10.6
+    - 10.7
+    - 10.8
+    - 10.9
     - 11.0
+    - 11.1
+    - 11.2
+    - 11.3
+    - 11.4
     - 11.5
+    - 11.6
+    - 11.7
+    - 11.8
+    - 11.9
     - 12.0
-    - 12.5
     - 13.0
-    - 13.5
     - 14.0
-    - 14.5
     - 15.0
-    - 15.5
     - 16.0
-    - 16.5
     - 17.0
-    - 17.5
     - 18.0
-    - 18.5
     - 19.0
-    - 19.5
     - 20.0
-    - 20.5
     - 21.0
-    - 21.5
     - 22.0
-    - 22.5
     - 23.0
-    - 23.5
     - 24.0
-    - 24.5
     - 25.0
-    - 25.01
-    - 25.02
+    - 25.1
     - 50.0
 floating_tilt_table:
   tilt:
diff --git a/examples/inputs_floating/turbine_files/nrel_5MW_floating_fixedtilt5.yaml b/examples/inputs_floating/turbine_files/nrel_5MW_floating_fixedtilt5.yaml
index af36a9bfa..917696d90 100644
--- a/examples/inputs_floating/turbine_files/nrel_5MW_floating_fixedtilt5.yaml
+++ b/examples/inputs_floating/turbine_files/nrel_5MW_floating_fixedtilt5.yaml
@@ -1,7 +1,7 @@
 turbine_type: 'nrel_5MW_floating'
-generator_efficiency: 1.0
+generator_efficiency: 0.944
 hub_height: 90.0
-rotor_diameter: 126.0
+rotor_diameter: 125.88
 TSR: 8.0
 correct_cp_ct_for_tilt: True # Apply tilt correction to cp/ct
 power_thrust_table:
@@ -12,158 +12,167 @@ power_thrust_table:
   power:
     - 0.0
     - 0.0
-    - 0.0
-    - 36.722155848902254
-    - 94.65678115354163
-    - 170.596391826316
-    - 267.74933496419163
-    - 387.64681352354114
-    - 533.9617151673435
-    - 707.4062402827329
-    - 909.9965782677073
-    - 1142.7197798534328
-    - 1407.4994184495558
-    - 1707.1272243371227
-    - 2047.3355806543098
-    - 2430.5778091805637
-    - 2858.3081150622215
-    - 3329.100627354195
-    - 3842.9755943182267
-    - 4403.86140594055
-    - 4999.993508066915
-    - 4999.99850473839
-    - 4999.997854617397
-    - 5000.00304890274
-    - 5000.002113339491
-    - 4999.997282778227
-    - 5000.002243172759
-    - 5000.000360590384
-    - 5000.009074693787
-    - 4999.987262704901
-    - 5000.007345811091
-    - 5000.006875165497
-    - 4999.994990648268
-    - 4999.97705933755
-    - 4999.983698972648
-    - 4999.991318085188
-    - 5000.024022703328
-    - 5000.016589748782
-    - 5000.025709581146
-    - 4999.944891236294
-    - 5000.035324880168
-    - 4999.967955734346
-    - 5000.013248451465
-    - 5000.063199891701
-    - 5000.068982245371
-    - 4999.9325188896555
-    - 5000.011035557985
-    - 5000.012771123277
-    - 4717.243379938609
+    - 40.518011517569214
+    - 177.67162506419703
+    - 403.900880943964
+    - 737.5889584824021
+    - 1187.1774030611875
+    - 1239.245945375778
+    - 1292.5184293723503
+    - 1347.3213147477102
+    - 1403.2573725578948
+    - 1460.7011898730707
+    - 1519.6419125979983
+    - 1580.174365096404
+    - 1642.1103166918167
+    - 1705.758292831
+    - 1771.1659528893977
+    - 2518.553107505315
+    - 3448.381605840943
+    - 3552.140809000129
+    - 3657.9545431794127
+    - 3765.121299313842
+    - 3873.928844315059
+    - 3984.4800226955504
+    - 4096.582833096852
+    - 4210.721306623712
+    - 4326.154305853405
+    - 4443.395565353604
+    - 4562.497934188341
+    - 4683.419890251577
+    - 4806.164748311019
+    - 4929.931918769215
+    - 5000.920541636473
+    - 5000.155331018289
+    - 4999.981249947396
+    - 4999.95577837709
+    - 4999.977954833183
+    - 4999.99729673573
+    - 5000.00107322333
+    - 5000.006250888532
+    - 5000.005783964932
+    - 5000.0180481355455
+    - 5000.00295266134
+    - 5000.015689533812
+    - 5000.027006739212
+    - 5000.015694513332
+    - 5000.037874470919
+    - 5000.021829556129
+    - 5000.047786595209
+    - 5000.006722827633
+    - 5000.003398457957
+    - 5000.044012521576
     - 0.0
     - 0.0
   thrust_coefficient:
     - 0.0
     - 0.0
-    - 0.0
-    - 0.99
-    - 0.99
-    - 0.97373036
-    - 0.92826162
-    - 0.89210543
-    - 0.86100905
-    - 0.835423
-    - 0.81237673
-    - 0.79225789
-    - 0.77584769
-    - 0.7629228
-    - 0.76156073
-    - 0.76261984
-    - 0.76169723
-    - 0.75232027
-    - 0.74026851
-    - 0.72987175
-    - 0.70701647
-    - 0.54054532
-    - 0.45509459
-    - 0.39343381
-    - 0.34250785
-    - 0.30487242
-    - 0.27164979
-    - 0.24361964
-    - 0.21973831
-    - 0.19918151
-    - 0.18131868
-    - 0.16537679
-    - 0.15103727
-    - 0.13998636
-    - 0.1289037
-    - 0.11970413
-    - 0.11087113
-    - 0.10339901
-    - 0.09617888
-    - 0.09009926
-    - 0.08395078
-    - 0.0791188
-    - 0.07448356
-    - 0.07050731
-    - 0.06684119
-    - 0.06345518
-    - 0.06032267
-    - 0.05741999
-    - 0.05472609
+    - 1.132034888
+    - 0.999470963
+    - 0.917697381
+    - 0.860849503
+    - 0.815371198
+    - 0.811614904
+    - 0.807939328
+    - 0.80443352
+    - 0.800993851
+    - 0.79768116
+    - 0.794529244
+    - 0.791495834
+    - 0.788560434
+    - 0.787217182
+    - 0.787127977
+    - 0.785839257
+    - 0.783812219
+    - 0.783568108
+    - 0.783328285
+    - 0.781194418
+    - 0.777292539
+    - 0.773464375
+    - 0.769690236
+    - 0.766001924
+    - 0.762348072
+    - 0.758760824
+    - 0.755242872
+    - 0.751792927
+    - 0.748434131
+    - 0.745113997
+    - 0.717806682
+    - 0.672204789
+    - 0.63831272
+    - 0.610176496
+    - 0.585456847
+    - 0.563222111
+    - 0.542912273
+    - 0.399312061
+    - 0.310517829
+    - 0.248633226
+    - 0.203543725
+    - 0.169616419
+    - 0.143478955
+    - 0.122938861
+    - 0.106515296
+    - 0.093026095
+    - 0.081648606
+    - 0.072197368
+    - 0.064388275
+    - 0.057782745
     - 0.0
     - 0.0
   wind_speed:
     - 0.0
-    - 2.0
-    - 2.5
+    - 2.9
     - 3.0
-    - 3.5
     - 4.0
-    - 4.5
     - 5.0
-    - 5.5
     - 6.0
-    - 6.5
     - 7.0
+    - 7.1
+    - 7.2
+    - 7.3
+    - 7.4
     - 7.5
+    - 7.6
+    - 7.7
+    - 7.8
+    - 7.9
     - 8.0
-    - 8.5
     - 9.0
-    - 9.5
     - 10.0
+    - 10.1
+    - 10.2
+    - 10.3
+    - 10.4
     - 10.5
+    - 10.6
+    - 10.7
+    - 10.8
+    - 10.9
     - 11.0
+    - 11.1
+    - 11.2
+    - 11.3
+    - 11.4
     - 11.5
+    - 11.6
+    - 11.7
+    - 11.8
+    - 11.9
     - 12.0
-    - 12.5
     - 13.0
-    - 13.5
     - 14.0
-    - 14.5
     - 15.0
-    - 15.5
     - 16.0
-    - 16.5
     - 17.0
-    - 17.5
     - 18.0
-    - 18.5
     - 19.0
-    - 19.5
     - 20.0
-    - 20.5
     - 21.0
-    - 21.5
     - 22.0
-    - 22.5
     - 23.0
-    - 23.5
     - 24.0
-    - 24.5
     - 25.0
-    - 25.01
-    - 25.02
+    - 25.1
     - 50.0
 floating_tilt_table:
   tilt:
diff --git a/floris/turbine_library/iea_10MW.yaml b/floris/turbine_library/iea_10MW.yaml
index daa58256d..90d5eb64d 100644
--- a/floris/turbine_library/iea_10MW.yaml
+++ b/floris/turbine_library/iea_10MW.yaml
@@ -1,5 +1,7 @@
-turbine_type: iea_10MW
-generator_efficiency: 1.0
+# Data based on:
+# https://github.com/NREL/turbine-models/blob/master/Offshore/IEA_10MW_198_RWT.csv
+turbine_type: 'iea_10MW'
+generator_efficiency: 0.94
 hub_height: 119.0
 rotor_diameter: 198.0
 TSR: 8.0
@@ -9,171 +11,78 @@ power_thrust_table:
   ref_tilt: 6.0
   pP: 1.88
   pT: 1.88
-  wind_speed:
-  - 0.0
-  - 2.9
-  - 3.0
-  - 4.0
-  - 4.5147
-  - 5.0008
-  - 5.4574
-  - 5.8833
-  - 6.2777
-  - 6.6397
-  - 6.9684
-  - 7.2632
-  - 7.5234
-  - 7.7484
-  - 7.9377
-  - 8.0909
-  - 8.2077
-  - 8.2877
-  - 8.3308
-  - 8.337
-  - 8.3678
-  - 8.4356
-  - 8.5401
-  - 8.6812
-  - 8.8585
-  - 9.0717
-  - 9.3202
-  - 9.6035
-  - 9.921
-  - 10.272
-  - 10.6557
-  - 10.7577
-  - 11.5177
-  - 11.9941
-  - 12.4994
-  - 13.0324
-  - 13.592
-  - 14.1769
-  - 14.7859
-  - 15.4175
-  - 16.0704
-  - 16.7432
-  - 17.4342
-  - 18.1421
-  - 18.8652
-  - 19.6019
-  - 20.3506
-  - 21.1096
-  - 21.8773
-  - 22.6519
-  - 23.4317
-  - 24.215
-  - 25.01
-  - 25.02
-  - 50.0
   power:
-  - 0.0
-  - 0.0
-  - 37.68094958908877
-  - 392.3948496148231
-  - 652.8777029978363
-  - 949.7874838458624
-  - 1273.9701534366477
-  - 1624.53736790407
-  - 1994.1716868646631
-  - 2369.9141552410333
-  - 2742.7863681556505
-  - 3105.823526184341
-  - 3451.7173408365657
-  - 3770.7597566998656
-  - 4053.935262364495
-  - 4293.221213633668
-  - 4481.848670501228
-  - 4614.183183672742
-  - 4686.546075837561
-  - 4697.017416780224
-  - 4749.267597733971
-  - 4865.648149450861
-  - 5048.724054152798
-  - 5303.127287084259
-  - 5634.732904516438
-  - 6051.44102592321
-  - 6562.487084906048
-  - 7179.28820897481
-  - 7915.149369234113
-  - 8799.632659018345
-  - 10000.004148840422
-  - 10000.010118342427
-  - 9999.986697903953
-  - 10000.00900096281
-  - 10000.010994188466
-  - 9999.985254153351
-  - 10000.01026748458
-  - 10000.005066662203
-  - 10000.02018584477
-  - 10000.017032649757
-  - 10000.030351494535
-  - 10000.023814906699
-  - 10000.036965698706
-  - 10000.045823704839
-  - 10000.005313131529
-  - 9999.992881648563
-  - 9999.96325689038
-  - 9999.976811614484
-  - 10000.028061758208
-  - 9999.89737385537
-  - 10000.082694480527
-  - 10000.014032855759
-  - 10011.87188590296
-  - 0.0
-  - 0.0
+    - 0.0
+    - 0.0
+    - 35.60156
+    - 414.0606
+    - 1009.90686
+    - 1855.02326
+    - 2963.01442
+    - 4440.26484
+    - 6330.82856
+    - 7392.13274
+    - 8514.32824
+    - 9691.10578
+    - 10000.002
+    - 10000.002
+    - 10000.002
+    - 10000.002
+    - 10000.002
+    - 10000.002
+    - 10000.002
+    - 10000.002
+    - 10000.002
+    - 10000.003
+    - 0.0
+    - 0.0
   thrust_coefficient:
-  - 0.0
-  - 0.0
-  - 0.7701
-  - 0.7701
-  - 0.7763
-  - 0.7824
-  - 0.782
-  - 0.7802
-  - 0.7772
-  - 0.7719
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7675
-  - 0.7651
-  - 0.7587
-  - 0.5056
-  - 0.431
-  - 0.3708
-  - 0.3209
-  - 0.2788
-  - 0.2432
-  - 0.2128
-  - 0.1868
-  - 0.1645
-  - 0.1454
-  - 0.1289
-  - 0.1147
-  - 0.1024
-  - 0.0918
-  - 0.0825
-  - 0.0745
-  - 0.0675
-  - 0.0613
-  - 0.0559
-  - 0.0512
-  - 0.047
-  - 0.0
-  - 0.0
+    - 0.0
+    - 0.0
+    - 0.915
+    - 0.926
+    - 0.921
+    - 0.895
+    - 0.885
+    - 0.873
+    - 0.827
+    - 0.789
+    - 0.754
+    - 0.721
+    - 0.591
+    - 0.49
+    - 0.418
+    - 0.318
+    - 0.251
+    - 0.203
+    - 0.167
+    - 0.119
+    - 0.088
+    - 0.049
+    - 0.0
+    - 0.0
+  wind_speed:
+    - 0.0000
+    - 2.9
+    - 3.0
+    - 4.0
+    - 5.0
+    - 6.0
+    - 7.0
+    - 8.0
+    - 9.0
+    - 9.5
+    - 10.0
+    - 10.5
+    - 11.0
+    - 11.5
+    - 12.0
+    - 13.0
+    - 14.0
+    - 15.0
+    - 16.0
+    - 18.0
+    - 20.0
+    - 25.0
+    - 25.01
+    - 50.0
diff --git a/floris/turbine_library/iea_10MW_v3legacy.yaml b/floris/turbine_library/iea_10MW_v3legacy.yaml
deleted file mode 100644
index eaa04d81b..000000000
--- a/floris/turbine_library/iea_10MW_v3legacy.yaml
+++ /dev/null
@@ -1,178 +0,0 @@
-turbine_type: 'iea_10MW'
-generator_efficiency: 1.0
-hub_height: 119.0
-pP: 1.88
-pT: 1.88
-rotor_diameter: 198.0
-TSR: 8.0
-ref_density_cp_ct: 1.225
-ref_tilt_cp_ct: 6.0
-power_thrust_table:
-  power:
-    - 0.000000
-    - 0.000000
-    - 0.074
-    - 0.325100
-    - 0.376200
-    - 0.402700
-    - 0.415600
-    - 0.423000
-    - 0.427400
-    - 0.429300
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.430500
-    - 0.438256
-    - 0.425908
-    - 0.347037
-    - 0.307306
-    - 0.271523
-    - 0.239552
-    - 0.211166
-    - 0.186093
-    - 0.164033
-    - 0.144688
-    - 0.127760
-    - 0.112969
-    - 0.100062
-    - 0.088800
-    - 0.078975
-    - 0.070401
-    - 0.062913
-    - 0.056368
-    - 0.050640
-    - 0.045620
-    - 0.041216
-    - 0.037344
-    - 0.033935
-    - 0.0
-    - 0.0
-  thrust:
-    - 0.0
-    - 0.0
-    - 0.7701
-    - 0.7701
-    - 0.7763
-    - 0.7824
-    - 0.7820
-    - 0.7802
-    - 0.7772
-    - 0.7719
-    - 0.7768
-    - 0.7768
-    - 0.7768
-    - 0.7768
-    - 0.7768
-    - 0.7768
-    - 0.7768
-    - 0.7768
-    - 0.7768
-    - 0.7768
-    - 0.7768
-    - 0.7768
-    - 0.7768
-    - 0.7768
-    - 0.7768
-    - 0.7768
-    - 0.7768
-    - 0.7768
-    - 0.7768
-    - 0.7675
-    - 0.7651
-    - 0.7587
-    - 0.5056
-    - 0.4310
-    - 0.3708
-    - 0.3209
-    - 0.2788
-    - 0.2432
-    - 0.2128
-    - 0.1868
-    - 0.1645
-    - 0.1454
-    - 0.1289
-    - 0.1147
-    - 0.1024
-    - 0.0918
-    - 0.0825
-    - 0.0745
-    - 0.0675
-    - 0.0613
-    - 0.0559
-    - 0.0512
-    - 0.0470
-    - 0.0
-    - 0.0
-  wind_speed:
-    - 0.0000
-    - 2.9
-    - 3.0
-    - 4.0000
-    - 4.5147
-    - 5.0008
-    - 5.4574
-    - 5.8833
-    - 6.2777
-    - 6.6397
-    - 6.9684
-    - 7.2632
-    - 7.5234
-    - 7.7484
-    - 7.9377
-    - 8.0909
-    - 8.2077
-    - 8.2877
-    - 8.3308
-    - 8.3370
-    - 8.3678
-    - 8.4356
-    - 8.5401
-    - 8.6812
-    - 8.8585
-    - 9.0717
-    - 9.3202
-    - 9.6035
-    - 9.9210
-    - 10.2720
-    - 10.6557
-    - 10.7577
-    - 11.5177
-    - 11.9941
-    - 12.4994
-    - 13.0324
-    - 13.5920
-    - 14.1769
-    - 14.7859
-    - 15.4175
-    - 16.0704
-    - 16.7432
-    - 17.4342
-    - 18.1421
-    - 18.8652
-    - 19.6019
-    - 20.3506
-    - 21.1096
-    - 21.8773
-    - 22.6519
-    - 23.4317
-    - 24.2150
-    - 25.010
-    - 25.020
-    - 50.0
diff --git a/floris/turbine_library/iea_10MW_v4converted.yaml b/floris/turbine_library/iea_10MW_v4converted.yaml
deleted file mode 100644
index daa58256d..000000000
--- a/floris/turbine_library/iea_10MW_v4converted.yaml
+++ /dev/null
@@ -1,179 +0,0 @@
-turbine_type: iea_10MW
-generator_efficiency: 1.0
-hub_height: 119.0
-rotor_diameter: 198.0
-TSR: 8.0
-power_thrust_model: cosine-loss
-power_thrust_table:
-  ref_air_density: 1.225
-  ref_tilt: 6.0
-  pP: 1.88
-  pT: 1.88
-  wind_speed:
-  - 0.0
-  - 2.9
-  - 3.0
-  - 4.0
-  - 4.5147
-  - 5.0008
-  - 5.4574
-  - 5.8833
-  - 6.2777
-  - 6.6397
-  - 6.9684
-  - 7.2632
-  - 7.5234
-  - 7.7484
-  - 7.9377
-  - 8.0909
-  - 8.2077
-  - 8.2877
-  - 8.3308
-  - 8.337
-  - 8.3678
-  - 8.4356
-  - 8.5401
-  - 8.6812
-  - 8.8585
-  - 9.0717
-  - 9.3202
-  - 9.6035
-  - 9.921
-  - 10.272
-  - 10.6557
-  - 10.7577
-  - 11.5177
-  - 11.9941
-  - 12.4994
-  - 13.0324
-  - 13.592
-  - 14.1769
-  - 14.7859
-  - 15.4175
-  - 16.0704
-  - 16.7432
-  - 17.4342
-  - 18.1421
-  - 18.8652
-  - 19.6019
-  - 20.3506
-  - 21.1096
-  - 21.8773
-  - 22.6519
-  - 23.4317
-  - 24.215
-  - 25.01
-  - 25.02
-  - 50.0
-  power:
-  - 0.0
-  - 0.0
-  - 37.68094958908877
-  - 392.3948496148231
-  - 652.8777029978363
-  - 949.7874838458624
-  - 1273.9701534366477
-  - 1624.53736790407
-  - 1994.1716868646631
-  - 2369.9141552410333
-  - 2742.7863681556505
-  - 3105.823526184341
-  - 3451.7173408365657
-  - 3770.7597566998656
-  - 4053.935262364495
-  - 4293.221213633668
-  - 4481.848670501228
-  - 4614.183183672742
-  - 4686.546075837561
-  - 4697.017416780224
-  - 4749.267597733971
-  - 4865.648149450861
-  - 5048.724054152798
-  - 5303.127287084259
-  - 5634.732904516438
-  - 6051.44102592321
-  - 6562.487084906048
-  - 7179.28820897481
-  - 7915.149369234113
-  - 8799.632659018345
-  - 10000.004148840422
-  - 10000.010118342427
-  - 9999.986697903953
-  - 10000.00900096281
-  - 10000.010994188466
-  - 9999.985254153351
-  - 10000.01026748458
-  - 10000.005066662203
-  - 10000.02018584477
-  - 10000.017032649757
-  - 10000.030351494535
-  - 10000.023814906699
-  - 10000.036965698706
-  - 10000.045823704839
-  - 10000.005313131529
-  - 9999.992881648563
-  - 9999.96325689038
-  - 9999.976811614484
-  - 10000.028061758208
-  - 9999.89737385537
-  - 10000.082694480527
-  - 10000.014032855759
-  - 10011.87188590296
-  - 0.0
-  - 0.0
-  thrust_coefficient:
-  - 0.0
-  - 0.0
-  - 0.7701
-  - 0.7701
-  - 0.7763
-  - 0.7824
-  - 0.782
-  - 0.7802
-  - 0.7772
-  - 0.7719
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7768
-  - 0.7675
-  - 0.7651
-  - 0.7587
-  - 0.5056
-  - 0.431
-  - 0.3708
-  - 0.3209
-  - 0.2788
-  - 0.2432
-  - 0.2128
-  - 0.1868
-  - 0.1645
-  - 0.1454
-  - 0.1289
-  - 0.1147
-  - 0.1024
-  - 0.0918
-  - 0.0825
-  - 0.0745
-  - 0.0675
-  - 0.0613
-  - 0.0559
-  - 0.0512
-  - 0.047
-  - 0.0
-  - 0.0
diff --git a/floris/turbine_library/iea_10MW_v4updated.yaml b/floris/turbine_library/iea_10MW_v4updated.yaml
deleted file mode 100644
index ae745b46b..000000000
--- a/floris/turbine_library/iea_10MW_v4updated.yaml
+++ /dev/null
@@ -1,87 +0,0 @@
-# Data based on:
-# https://github.com/NREL/turbine-models/blob/master/Offshore/IEA_10MW_198_RWT.csv
-turbine_type: 'iea_10MW'
-generator_efficiency: 1.0
-hub_height: 119.0
-rotor_diameter: 198.0
-TSR: 8.0
-power_thrust_table:
-  ref_air_density: 1.225
-  ref_tilt: 6.0
-  pP: 1.88
-  pT: 1.88
-  power:
-    - 0.000000
-    - 0.000000
-    - 37.874
-    - 440.49
-    - 1074.369
-    - 1973.429
-    - 3152.143
-    - 4723.686
-    - 6734.924
-    - 7863.971
-    - 9057.796
-    - 10309.687
-    - 10638.3
-    - 10638.3
-    - 10638.3
-    - 10638.3
-    - 10638.3
-    - 10638.3
-    - 10638.3
-    - 10638.3
-    - 10638.3
-    - 10638.301
-    - 0.0
-    - 0.0
-  thrust_coefficient:
-    - 0.0
-    - 0.0
-    - 0.915
-    - 0.926
-    - 0.921
-    - 0.895
-    - 0.885
-    - 0.873
-    - 0.827
-    - 0.789
-    - 0.754
-    - 0.721
-    - 0.591
-    - 0.49
-    - 0.418
-    - 0.318
-    - 0.251
-    - 0.203
-    - 0.167
-    - 0.119
-    - 0.088
-    - 0.049
-    - 0.0
-    - 0.0
-  wind_speed:
-    - 0.0000
-    - 2.9
-    - 3.0
-    - 4.0
-    - 5.0
-    - 6.0
-    - 7.0
-    - 8.0
-    - 9.0
-    - 9.5
-    - 10.0
-    - 10.5
-    - 11.0
-    - 11.5
-    - 12.0
-    - 13.0
-    - 14.0
-    - 15.0
-    - 16.0
-    - 18.0
-    - 20.0
-    - 25.0
-    - 25.01
-    - 50.0
diff --git a/floris/turbine_library/iea_15MW.yaml b/floris/turbine_library/iea_15MW.yaml
index d1f93dc4b..847145bcd 100644
--- a/floris/turbine_library/iea_15MW.yaml
+++ b/floris/turbine_library/iea_15MW.yaml
@@ -1,4 +1,7 @@
-turbine_type: iea_15MW
+# Data based on:
+# https://github.com/IEAWindTask37/IEA-15-240-RWT/blob/master/Documentation/
+# IEA-15-240-RWT_tabular.xlsx
+turbine_type: 'iea_15MW'
 generator_efficiency: 1.0
 hub_height: 150.0
 rotor_diameter: 242.24
@@ -9,165 +12,168 @@ power_thrust_table:
   ref_tilt: 6.0
   pP: 1.88
   pT: 1.88
-  wind_speed:
-  - 0.0
-  - 3.0
-  - 3.54953237
-  - 4.067900771
-  - 4.553906848
-  - 5.006427063
-  - 5.424415288
-  - 5.806905228
-  - 6.153012649
-  - 6.461937428
-  - 6.732965398
-  - 6.965470002
-  - 7.158913742
-  - 7.312849418
-  - 7.426921164
-  - 7.500865272
-  - 7.534510799
-  - 7.541241633
-  - 7.58833327
-  - 7.675676842
-  - 7.803070431
-  - 7.970219531
-  - 8.176737731
-  - 8.422147605
-  - 8.70588182
-  - 9.027284445
-  - 9.385612468
-  - 9.780037514
-  - 10.20964776
-  - 10.67345004
-  - 10.86770694
-  - 11.17037214
-  - 11.6992653
-  - 12.25890683
-  - 12.84800295
-  - 13.46519181
-  - 14.10904661
-  - 14.77807889
-  - 15.470742
-  - 16.18543466
-  - 16.92050464
-  - 17.67425264
-  - 18.44493615
-  - 19.23077353
-  - 20.02994808
-  - 20.8406123
-  - 21.66089211
-  - 22.4888912
-  - 23.32269542
-  - 24.1603772
-  - 25.0
-  - 25.02
-  - 50.0
   power:
-  - 0.0
-  - 37.62161892251866
-  - 283.1896270728138
-  - 593.2728560522313
-  - 959.9819840653767
-  - 1372.9939673445779
-  - 1820.2824213031413
-  - 2288.234638675552
-  - 2762.402356940621
-  - 3227.9317849259483
-  - 3670.23524006855
-  - 4075.3355492549404
-  - 4424.289670276729
-  - 4712.31145096999
-  - 4933.478791318434
-  - 5080.411002639729
-  - 5148.20416793432
-  - 5161.8373266616445
-  - 5257.877358155053
-  - 5439.0905873988
-  - 5710.644642926693
-  - 6080.1808123220335
-  - 6557.896472825747
-  - 7156.656114121487
-  - 7892.096068144686
-  - 8782.7485712001
-  - 9850.132658272489
-  - 11118.833728910668
-  - 12616.55466282621
-  - 14395.650060011094
-  - 15180.873696159935
-  - 15180.878025972781
-  - 15180.846427684693
-  - 15180.874525641515
-  - 15180.873081482694
-  - 15180.868180147516
-  - 15180.964634095619
-  - 15180.928211309449
-  - 15180.909227363609
-  - 15180.898248776428
-  - 15180.890850809097
-  - 15180.885382324133
-  - 15180.881159484874
-  - 15180.877937975014
-  - 15180.875500759283
-  - 15180.873891022644
-  - 15180.894816053498
-  - 15180.873173416821
-  - 15180.873965755092
-  - 15180.875620174738
-  - 15180.87762584068
-  - 0.0
-  - 0.0
+    - 0.000000
+    - 0.000000
+    - 42.733312
+    - 292.585981
+    - 607.966543
+    - 981.097693
+    - 1401.98084
+    - 1858.67086
+    - 2337.575997
+    - 2824.097302
+    - 3303.06456
+    - 3759.432328
+    - 4178.637714
+    - 4547.19121
+    - 4855.342682
+    - 5091.537139
+    - 5248.453137
+    - 5320.793207
+    - 5335.345498
+    - 5437.90563
+    - 5631.253025
+    - 5920.980626
+    - 6315.115602
+    - 6824.470067
+    - 7462.846389
+    - 8238.359448
+    - 9167.96703
+    - 10285.211
+    - 11617.23699
+    - 13194.41511
+    - 15000.0
+    - 15000.00129
+    - 14999.97096
+    - 15000.00934
+    - 15000.00063
+    - 15000.00011
+    - 14999.94712
+    - 15000.08082
+    - 15000.05209
+    - 15000.03592
+    - 15000.02562
+    - 15000.01835
+    - 15000.01281
+    - 15000.00835
+    - 15000.00488
+    - 15000.00233
+    - 15000.00066
+    - 14999.87148
+    - 15000.00047
+    - 15000.00194
+    - 15000.00417
+    - 15000.00688
+    - 0.0
+    - 0.0
   thrust_coefficient:
-  - 0.0
-  - 0.817533319
-  - 0.792115292
-  - 0.786401899
-  - 0.788898744
-  - 0.790774576
-  - 0.79208669
-  - 0.79185809
-  - 0.7903853
-  - 0.788253035
-  - 0.785845184
-  - 0.783367164
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.781531069
-  - 0.758935311
-  - 0.614478855
-  - 0.498687801
-  - 0.416354609
-  - 0.351944846
-  - 0.299832337
-  - 0.256956606
-  - 0.221322169
-  - 0.19150758
-  - 0.166435523
-  - 0.145263684
-  - 0.127319849
-  - 0.11206048
-  - 0.099042189
-  - 0.087901155
-  - 0.078337446
-  - 0.07010295
-  - 0.062991402
-  - 0.056831647
-  - 0.05148062
-  - 0.046818787
-  - 0.0
-  - 0.0
+    - 0.000000
+    - 0.000000
+    - 0.80742173
+    - 0.784655297
+    - 0.781771245
+    - 0.785377072
+    - 0.788045584
+    - 0.789922119
+    - 0.790464625
+    - 0.789868339
+    - 0.788727582
+    - 0.787359348
+    - 0.785895402
+    - 0.778275899
+    - 0.778275899
+    - 0.778275899
+    - 0.778275899
+    - 0.778275899
+    - 0.778275899
+    - 0.778275899
+    - 0.778275899
+    - 0.778275899
+    - 0.778275899
+    - 0.778275899
+    - 0.778275899
+    - 0.778275899
+    - 0.778275899
+    - 0.778275899
+    - 0.778275899
+    - 0.778275899
+    - 0.77176172
+    - 0.747149663
+    - 0.562338457
+    - 0.463477777
+    - 0.389083718
+    - 0.329822385
+    - 0.281465071
+    - 0.241494345
+    - 0.208180574
+    - 0.180257568
+    - 0.156747535
+    - 0.136877529
+    - 0.120026379
+    - 0.105689427
+    - 0.093453742
+    - 0.082979637
+    - 0.073986457
+    - 0.066241166
+    - 0.059552107
+    - 0.053756866
+    - 0.048721662
+    - 0.044334197
+    - 0.0
+    - 0.0
+  wind_speed:
+    - 0.000
+    - 2.9
+    - 3.0
+    - 3.54953237
+    - 4.067900771
+    - 4.553906848
+    - 5.006427063
+    - 5.424415288
+    - 5.806905228
+    - 6.153012649
+    - 6.461937428
+    - 6.732965398
+    - 6.965470002
+    - 7.158913742
+    - 7.312849418
+    - 7.426921164
+    - 7.500865272
+    - 7.534510799
+    - 7.541241633
+    - 7.58833327
+    - 7.675676842
+    - 7.803070431
+    - 7.970219531
+    - 8.176737731
+    - 8.422147605
+    - 8.70588182
+    - 9.027284445
+    - 9.385612468
+    - 9.780037514
+    - 10.20964776
+    - 10.67345004
+    - 10.86770694
+    - 11.17037214
+    - 11.6992653
+    - 12.25890683
+    - 12.84800295
+    - 13.46519181
+    - 14.10904661
+    - 14.77807889
+    - 15.470742
+    - 16.18543466
+    - 16.92050464
+    - 17.67425264
+    - 18.44493615
+    - 19.23077353
+    - 20.02994808
+    - 20.8406123
+    - 21.66089211
+    - 22.4888912
+    - 23.32269542
+    - 24.1603772
+    - 25
+    - 25.020
+    - 50.0
diff --git a/floris/turbine_library/iea_15MW_floating_multi_dim_cp_ct_v3legacy.yaml b/floris/turbine_library/iea_15MW_floating_multi_dim_cp_ct_v3legacy.yaml
deleted file mode 100644
index 58b2b3a1f..000000000
--- a/floris/turbine_library/iea_15MW_floating_multi_dim_cp_ct_v3legacy.yaml
+++ /dev/null
@@ -1,29 +0,0 @@
-turbine_type: 'iea_15MW_floating'
-generator_efficiency: 1.0
-hub_height: 150.0
-pP: 1.88
-pT: 1.88
-rotor_diameter: 242.24
-TSR: 8.0
-ref_density_cp_ct: 1.225
-ref_tilt_cp_ct: 6.0
-multi_dimensional_cp_ct: True
-power_thrust_data_file: 'iea_15MW_multi_dim_Tp_Hs.csv'
-floating_tilt_table:
-  tilt:
-    - 5.747296314800103
-    - 7.2342400188651068
-    - 9.0468701999352397
-    - 9.762182013267733
-    - 8.795649572299896
-    - 8.089078308325314
-    - 7.7229584934943614
-  wind_speed:
-    - 4.0
-    - 6.0
-    - 8.0
-    - 10.0
-    - 12.0
-    - 14.0
-    - 16.0
-correct_cp_ct_for_tilt: True
diff --git a/floris/turbine_library/iea_15MW_v3legacy.yaml b/floris/turbine_library/iea_15MW_v3legacy.yaml
deleted file mode 100644
index 0350cd9c4..000000000
--- a/floris/turbine_library/iea_15MW_v3legacy.yaml
+++ /dev/null
@@ -1,172 +0,0 @@
-turbine_type: 'iea_15MW'
-generator_efficiency: 1.0
-hub_height: 150.0
-pP: 1.88
-pT: 1.88
-rotor_diameter: 242.24
-TSR: 8.0
-ref_density_cp_ct: 1.225
-ref_tilt_cp_ct: 6.0
-power_thrust_table:
-  power:
-    - 0.000000
-    - 0.049361236
-    - 0.224324252
-    - 0.312216418
-    - 0.36009987
-    - 0.38761204
-    - 0.404010164
-    - 0.413979324
-    - 0.420083692
-    - 0.423787764
-    - 0.425977895
-    - 0.427193272
-    - 0.427183505
-    - 0.426860928
-    - 0.426617959
-    - 0.426458783
-    - 0.426385957
-    - 0.426371389
-    - 0.426268826
-    - 0.426077456
-    - 0.425795302
-    - 0.425420049
-    - 0.424948854
-    - 0.424379028
-    - 0.423707714
-    - 0.422932811
-    - 0.422052556
-    - 0.421065815
-    - 0.419972455
-    - 0.419400676
-    - 0.418981957
-    - 0.385839135
-    - 0.335840083
-    - 0.29191329
-    - 0.253572514
-    - 0.220278082
-    - 0.191477908
-    - 0.166631343
-    - 0.145236797
-    - 0.126834289
-    - 0.111011925
-    - 0.097406118
-    - 0.085699408
-    - 0.075616912
-    - 0.066922115
-    - 0.059412477
-    - 0.052915227
-    - 0.04728299
-    - 0.042390922
-    - 0.038132739
-    - 0.03441828
-    - 0.0
-    - 0.0
-  thrust:
-    - 0.000000
-    - 0.817533319
-    - 0.792115292
-    - 0.786401899
-    - 0.788898744
-    - 0.790774576
-    - 0.79208669
-    - 0.79185809
-    - 0.7903853
-    - 0.788253035
-    - 0.785845184
-    - 0.783367164
-    - 0.77853469
-    - 0.77853469
-    - 0.77853469
-    - 0.77853469
-    - 0.77853469
-    - 0.77853469
-    - 0.77853469
-    - 0.77853469
-    - 0.77853469
-    - 0.77853469
-    - 0.77853469
-    - 0.77853469
-    - 0.77853469
-    - 0.77853469
-    - 0.77853469
-    - 0.77853469
-    - 0.77853469
-    - 0.781531069
-    - 0.758935311
-    - 0.614478855
-    - 0.498687801
-    - 0.416354609
-    - 0.351944846
-    - 0.299832337
-    - 0.256956606
-    - 0.221322169
-    - 0.19150758
-    - 0.166435523
-    - 0.145263684
-    - 0.127319849
-    - 0.11206048
-    - 0.099042189
-    - 0.087901155
-    - 0.078337446
-    - 0.07010295
-    - 0.062991402
-    - 0.056831647
-    - 0.05148062
-    - 0.046818787
-    - 0.0
-    - 0.0
-  wind_speed:
-    - 0.000
-    - 3
-    - 3.54953237
-    - 4.067900771
-    - 4.553906848
-    - 5.006427063
-    - 5.424415288
-    - 5.806905228
-    - 6.153012649
-    - 6.461937428
-    - 6.732965398
-    - 6.965470002
-    - 7.158913742
-    - 7.312849418
-    - 7.426921164
-    - 7.500865272
-    - 7.534510799
-    - 7.541241633
-    - 7.58833327
-    - 7.675676842
-    - 7.803070431
-    - 7.970219531
-    - 8.176737731
-    - 8.422147605
-    - 8.70588182
-    - 9.027284445
-    - 9.385612468
-    - 9.780037514
-    - 10.20964776
-    - 10.67345004
-    - 10.86770694
-    - 11.17037214
-    - 11.6992653
-    - 12.25890683
-    - 12.84800295
-    - 13.46519181
-    - 14.10904661
-    - 14.77807889
-    - 15.470742
-    - 16.18543466
-    - 16.92050464
-    - 17.67425264
-    - 18.44493615
-    - 19.23077353
-    - 20.02994808
-    - 20.8406123
-    - 21.66089211
-    - 22.4888912
-    - 23.32269542
-    - 24.1603772
-    - 25
-    - 25.020
-    - 50.0
diff --git a/floris/turbine_library/iea_15MW_v4converted.yaml b/floris/turbine_library/iea_15MW_v4converted.yaml
deleted file mode 100644
index d1f93dc4b..000000000
--- a/floris/turbine_library/iea_15MW_v4converted.yaml
+++ /dev/null
@@ -1,173 +0,0 @@
-turbine_type: iea_15MW
-generator_efficiency: 1.0
-hub_height: 150.0
-rotor_diameter: 242.24
-TSR: 8.0
-power_thrust_model: cosine-loss
-power_thrust_table:
-  ref_air_density: 1.225
-  ref_tilt: 6.0
-  pP: 1.88
-  pT: 1.88
-  wind_speed:
-  - 0.0
-  - 3.0
-  - 3.54953237
-  - 4.067900771
-  - 4.553906848
-  - 5.006427063
-  - 5.424415288
-  - 5.806905228
-  - 6.153012649
-  - 6.461937428
-  - 6.732965398
-  - 6.965470002
-  - 7.158913742
-  - 7.312849418
-  - 7.426921164
-  - 7.500865272
-  - 7.534510799
-  - 7.541241633
-  - 7.58833327
-  - 7.675676842
-  - 7.803070431
-  - 7.970219531
-  - 8.176737731
-  - 8.422147605
-  - 8.70588182
-  - 9.027284445
-  - 9.385612468
-  - 9.780037514
-  - 10.20964776
-  - 10.67345004
-  - 10.86770694
-  - 11.17037214
-  - 11.6992653
-  - 12.25890683
-  - 12.84800295
-  - 13.46519181
-  - 14.10904661
-  - 14.77807889
-  - 15.470742
-  - 16.18543466
-  - 16.92050464
-  - 17.67425264
-  - 18.44493615
-  - 19.23077353
-  - 20.02994808
-  - 20.8406123
-  - 21.66089211
-  - 22.4888912
-  - 23.32269542
-  - 24.1603772
-  - 25.0
-  - 25.02
-  - 50.0
-  power:
-  - 0.0
-  - 37.62161892251866
-  - 283.1896270728138
-  - 593.2728560522313
-  - 959.9819840653767
-  - 1372.9939673445779
-  - 1820.2824213031413
-  - 2288.234638675552
-  - 2762.402356940621
-  - 3227.9317849259483
-  - 3670.23524006855
-  - 4075.3355492549404
-  - 4424.289670276729
-  - 4712.31145096999
-  - 4933.478791318434
-  - 5080.411002639729
-  - 5148.20416793432
-  - 5161.8373266616445
-  - 5257.877358155053
-  - 5439.0905873988
-  - 5710.644642926693
-  - 6080.1808123220335
-  - 6557.896472825747
-  - 7156.656114121487
-  - 7892.096068144686
-  - 8782.7485712001
-  - 9850.132658272489
-  - 11118.833728910668
-  - 12616.55466282621
-  - 14395.650060011094
-  - 15180.873696159935
-  - 15180.878025972781
-  - 15180.846427684693
-  - 15180.874525641515
-  - 15180.873081482694
-  - 15180.868180147516
-  - 15180.964634095619
-  - 15180.928211309449
-  - 15180.909227363609
-  - 15180.898248776428
-  - 15180.890850809097
-  - 15180.885382324133
-  - 15180.881159484874
-  - 15180.877937975014
-  - 15180.875500759283
-  - 15180.873891022644
-  - 15180.894816053498
-  - 15180.873173416821
-  - 15180.873965755092
-  - 15180.875620174738
-  - 15180.87762584068
-  - 0.0
-  - 0.0
-  thrust_coefficient:
-  - 0.0
-  - 0.817533319
-  - 0.792115292
-  - 0.786401899
-  - 0.788898744
-  - 0.790774576
-  - 0.79208669
-  - 0.79185809
-  - 0.7903853
-  - 0.788253035
-  - 0.785845184
-  - 0.783367164
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.77853469
-  - 0.781531069
-  - 0.758935311
-  - 0.614478855
-  - 0.498687801
-  - 0.416354609
-  - 0.351944846
-  - 0.299832337
-  - 0.256956606
-  - 0.221322169
-  - 0.19150758
-  - 0.166435523
-  - 0.145263684
-  - 0.127319849
-  - 0.11206048
-  - 0.099042189
-  - 0.087901155
-  - 0.078337446
-  - 0.07010295
-  - 0.062991402
-  - 0.056831647
-  - 0.05148062
-  - 0.046818787
-  - 0.0
-  - 0.0
diff --git a/floris/turbine_library/iea_15MW_v4updated.yaml b/floris/turbine_library/iea_15MW_v4updated.yaml
deleted file mode 100644
index 163a3da74..000000000
--- a/floris/turbine_library/iea_15MW_v4updated.yaml
+++ /dev/null
@@ -1,178 +0,0 @@
-# Data based on:
-# https://github.com/IEAWindTask37/IEA-15-240-RWT/blob/master/Documentation/
-# IEA-15-240-RWT_tabular.xlsx
-turbine_type: 'iea_15MW'
-generator_efficiency: 1.0
-hub_height: 150.0
-rotor_diameter: 242.24
-TSR: 8.0
-power_thrust_table:
-  ref_air_density: 1.225
-  ref_tilt: 6.0
-  pP: 1.88
-  pT: 1.88
-  power:
-    - 0.000000
-    - 0.000000
-    - 42.733312
-    - 292.585981
-    - 607.966543
-    - 981.097693
-    - 1401.98084
-    - 1858.67086
-    - 2337.575997
-    - 2824.097302
-    - 3303.06456
-    - 3759.432328
-    - 4178.637714
-    - 4547.19121
-    - 4855.342682
-    - 5091.537139
-    - 5248.453137
-    - 5320.793207
-    - 5335.345498
-    - 5437.90563
-    - 5631.253025
-    - 5920.980626
-    - 6315.115602
-    - 6824.470067
-    - 7462.846389
-    - 8238.359448
-    - 9167.96703
-    - 10285.211
-    - 11617.23699
-    - 13194.41511
-    - 15000.0
-    - 15000.00129
-    - 14999.97096
-    - 15000.00934
-    - 15000.00063
-    - 15000.00011
-    - 14999.94712
-    - 15000.08082
-    - 15000.05209
-    - 15000.03592
-    - 15000.02562
-    - 15000.01835
-    - 15000.01281
-    - 15000.00835
-    - 15000.00488
-    - 15000.00233
-    - 15000.00066
-    - 14999.87148
-    - 15000.00047
-    - 15000.00194
-    - 15000.00417
-    - 15000.00688
-    - 0.0
-    - 0.0
-  thrust_coefficient:
-    - 0.000000
-    - 0.000000
-    - 0.80742173
-    - 0.784655297
-    - 0.781771245
-    - 0.785377072
-    - 0.788045584
-    - 0.789922119
-    - 0.790464625
-    - 0.789868339
-    - 0.788727582
-    - 0.787359348
-    - 0.785895402
-    - 0.778275899
-    - 0.778275899
-    - 0.778275899
-    - 0.778275899
-    - 0.778275899
-    - 0.778275899
-    - 0.778275899
-    - 0.778275899
-    - 0.778275899
-    - 0.778275899
-    - 0.778275899
-    - 0.778275899
-    - 0.778275899
-    - 0.778275899
-    - 0.778275899
-    - 0.778275899
-    - 0.778275899
-    - 0.77176172
-    - 0.747149663
-    - 0.562338457
-    - 0.463477777
-    - 0.389083718
-    - 0.329822385
-    - 0.281465071
-    - 0.241494345
-    - 0.208180574
-    - 0.180257568
-    - 0.156747535
-    - 0.136877529
-    - 0.120026379
-    - 0.105689427
-    - 0.093453742
-    - 0.082979637
-    - 0.073986457
-    - 0.066241166
-    - 0.059552107
-    - 0.053756866
-    - 0.048721662
-    - 0.044334197
-    - 0.0
-    - 0.0
-  wind_speed:
-    - 0.000
-    - 2.9
-    - 3.0
-    - 3.54953237
-    - 4.067900771
-    - 4.553906848
-    - 5.006427063
-    - 5.424415288
-    - 5.806905228
-    - 6.153012649
-    - 6.461937428
-    - 6.732965398
-    - 6.965470002
-    - 7.158913742
-    - 7.312849418
-    - 7.426921164
-    - 7.500865272
-    - 7.534510799
-    - 7.541241633
-    - 7.58833327
-    - 7.675676842
-    - 7.803070431
-    - 7.970219531
-    - 8.176737731
-    - 8.422147605
-    - 8.70588182
-    - 9.027284445
-    - 9.385612468
-    - 9.780037514
-    - 10.20964776
-    - 10.67345004
-    - 10.86770694
-    - 11.17037214
-    - 11.6992653
-    - 12.25890683
-    - 12.84800295
-    - 13.46519181
-    - 14.10904661
-    - 14.77807889
-    - 15.470742
-    - 16.18543466
-    - 16.92050464
-    - 17.67425264
-    - 18.44493615
-    - 19.23077353
-    - 20.02994808
-    - 20.8406123
-    - 21.66089211
-    - 22.4888912
-    - 23.32269542
-    - 24.1603772
-    - 25
-    - 25.020
-    - 50.0
diff --git a/floris/turbine_library/nrel_5MW.yaml b/floris/turbine_library/nrel_5MW.yaml
index 4337ac8f7..066eb9b79 100644
--- a/floris/turbine_library/nrel_5MW.yaml
+++ b/floris/turbine_library/nrel_5MW.yaml
@@ -1,17 +1,16 @@
-
+# NREL 5MW reference wind turbine.
+# Data based on:
+# https://github.com/NREL/turbine-models/blob/master/Offshore/NREL_5MW_126_RWT_corrected.csv
 
 ###
 # An ID for this type of turbine definition.
 # This is not currently used, but it will be enabled in the future. This should typically
 # match the root name of the file.
-
-# Data based on:
-# https://github.com/NREL/turbine-models/blob/master/Offshore/NREL_5MW_126_RWT.csv
 turbine_type: 'nrel_5MW'
 
 ###
 # Setting for generator losses to power.
-generator_efficiency: 1.0
+generator_efficiency: 0.944
 
 ###
 # Hub height.
@@ -19,7 +18,7 @@ hub_height: 90.0
 
 ###
 # Rotor diameter.
-rotor_diameter: 126.0
+rotor_diameter: 125.88
 
 ###
 # Tip speed ratio defined as linear blade tip speed normalized by the incoming wind speed.
@@ -45,160 +44,169 @@ power_thrust_table:
   ### Power thrust table data
   wind_speed:
     - 0.0
-    - 2.0
-    - 2.5
+    - 2.9
     - 3.0
-    - 3.5
     - 4.0
-    - 4.5
     - 5.0
-    - 5.5
     - 6.0
-    - 6.5
     - 7.0
+    - 7.1
+    - 7.2
+    - 7.3
+    - 7.4
     - 7.5
+    - 7.6
+    - 7.7
+    - 7.8
+    - 7.9
     - 8.0
-    - 8.5
     - 9.0
-    - 9.5
     - 10.0
+    - 10.1
+    - 10.2
+    - 10.3
+    - 10.4
     - 10.5
+    - 10.6
+    - 10.7
+    - 10.8
+    - 10.9
     - 11.0
+    - 11.1
+    - 11.2
+    - 11.3
+    - 11.4
     - 11.5
+    - 11.6
+    - 11.7
+    - 11.8
+    - 11.9
     - 12.0
-    - 12.5
     - 13.0
-    - 13.5
     - 14.0
-    - 14.5
     - 15.0
-    - 15.5
     - 16.0
-    - 16.5
     - 17.0
-    - 17.5
     - 18.0
-    - 18.5
     - 19.0
-    - 19.5
     - 20.0
-    - 20.5
     - 21.0
-    - 21.5
     - 22.0
-    - 22.5
     - 23.0
-    - 23.5
     - 24.0
-    - 24.5
     - 25.0
-    - 25.01
-    - 25.02
+    - 25.1
     - 50.0
   power:
     - 0.0
     - 0.0
-    - 0.0
-    - 36.722155848902254
-    - 94.65678115354163
-    - 170.596391826316
-    - 267.74933496419163
-    - 387.64681352354114
-    - 533.9617151673435
-    - 707.4062402827329
-    - 909.9965782677073
-    - 1142.7197798534328
-    - 1407.4994184495558
-    - 1707.1272243371227
-    - 2047.3355806543098
-    - 2430.5778091805637
-    - 2858.3081150622215
-    - 3329.100627354195
-    - 3842.9755943182267
-    - 4403.86140594055
-    - 4999.993508066915
-    - 4999.99850473839
-    - 4999.997854617397
-    - 5000.00304890274
-    - 5000.002113339491
-    - 4999.997282778227
-    - 5000.002243172759
-    - 5000.000360590384
-    - 5000.009074693787
-    - 4999.987262704901
-    - 5000.007345811091
-    - 5000.006875165497
-    - 4999.994990648268
-    - 4999.97705933755
-    - 4999.983698972648
-    - 4999.991318085188
-    - 5000.024022703328
-    - 5000.016589748782
-    - 5000.025709581146
-    - 4999.944891236294
-    - 5000.035324880168
-    - 4999.967955734346
-    - 5000.013248451465
-    - 5000.063199891701
-    - 5000.068982245371
-    - 4999.9325188896555
-    - 5000.011035557985
-    - 5000.012771123277
-    - 4717.243379938609
+    - 40.518011517569214
+    - 177.67162506419703
+    - 403.900880943964
+    - 737.5889584824021
+    - 1187.1774030611875
+    - 1239.245945375778
+    - 1292.5184293723503
+    - 1347.3213147477102
+    - 1403.2573725578948
+    - 1460.7011898730707
+    - 1519.6419125979983
+    - 1580.174365096404
+    - 1642.1103166918167
+    - 1705.758292831
+    - 1771.1659528893977
+    - 2518.553107505315
+    - 3448.381605840943
+    - 3552.140809000129
+    - 3657.9545431794127
+    - 3765.121299313842
+    - 3873.928844315059
+    - 3984.4800226955504
+    - 4096.582833096852
+    - 4210.721306623712
+    - 4326.154305853405
+    - 4443.395565353604
+    - 4562.497934188341
+    - 4683.419890251577
+    - 4806.164748311019
+    - 4929.931918769215
+    - 5000.920541636473
+    - 5000.155331018289
+    - 4999.981249947396
+    - 4999.95577837709
+    - 4999.977954833183
+    - 4999.99729673573
+    - 5000.00107322333
+    - 5000.006250888532
+    - 5000.005783964932
+    - 5000.0180481355455
+    - 5000.00295266134
+    - 5000.015689533812
+    - 5000.027006739212
+    - 5000.015694513332
+    - 5000.037874470919
+    - 5000.021829556129
+    - 5000.047786595209
+    - 5000.006722827633
+    - 5000.003398457957
+    - 5000.044012521576
     - 0.0
     - 0.0
   thrust_coefficient:
-   - 0.0
-   - 0.0
-   - 0.0
-   - 0.99
-   - 0.99
-   - 0.97373036
-   - 0.92826162
-   - 0.89210543
-   - 0.86100905
-   - 0.835423
-   - 0.81237673
-   - 0.79225789
-   - 0.77584769
-   - 0.7629228
-   - 0.76156073
-   - 0.76261984
-   - 0.76169723
-   - 0.75232027
-   - 0.74026851
-   - 0.72987175
-   - 0.70701647
-   - 0.54054532
-   - 0.45509459
-   - 0.39343381
-   - 0.34250785
-   - 0.30487242
-   - 0.27164979
-   - 0.24361964
-   - 0.21973831
-   - 0.19918151
-   - 0.18131868
-   - 0.16537679
-   - 0.15103727
-   - 0.13998636
-   - 0.1289037
-   - 0.11970413
-   - 0.11087113
-   - 0.10339901
-   - 0.09617888
-   - 0.09009926
-   - 0.08395078
-   - 0.0791188
-   - 0.07448356
-   - 0.07050731
-   - 0.06684119
-   - 0.06345518
-   - 0.06032267
-   - 0.05741999
-   - 0.05472609
-   - 0.0
-   - 0.0
+    - 0.0
+    - 0.0
+    - 1.132034888
+    - 0.999470963
+    - 0.917697381
+    - 0.860849503
+    - 0.815371198
+    - 0.811614904
+    - 0.807939328
+    - 0.80443352
+    - 0.800993851
+    - 0.79768116
+    - 0.794529244
+    - 0.791495834
+    - 0.788560434
+    - 0.787217182
+    - 0.787127977
+    - 0.785839257
+    - 0.783812219
+    - 0.783568108
+    - 0.783328285
+    - 0.781194418
+    - 0.777292539
+    - 0.773464375
+    - 0.769690236
+    - 0.766001924
+    - 0.762348072
+    - 0.758760824
+    - 0.755242872
+    - 0.751792927
+    - 0.748434131
+    - 0.745113997
+    - 0.717806682
+    - 0.672204789
+    - 0.63831272
+    - 0.610176496
+    - 0.585456847
+    - 0.563222111
+    - 0.542912273
+    - 0.399312061
+    - 0.310517829
+    - 0.248633226
+    - 0.203543725
+    - 0.169616419
+    - 0.143478955
+    - 0.122938861
+    - 0.106515296
+    - 0.093026095
+    - 0.081648606
+    - 0.072197368
+    - 0.064388275
+    - 0.057782745
+    - 0.0
+    - 0.0
 
 ###
 # A boolean flag used when the user wants FLORIS to use the user-supplied multi-dimensional
diff --git a/floris/turbine_library/nrel_5MW_v3legacy.yaml b/floris/turbine_library/nrel_5MW_v3legacy.yaml
deleted file mode 100644
index 653ef14c7..000000000
--- a/floris/turbine_library/nrel_5MW_v3legacy.yaml
+++ /dev/null
@@ -1,212 +0,0 @@
-
-###
-# An ID for this type of turbine definition.
-# This is not currently used, but it will be enabled in the future. This should typically
-# match the root name of the file.
-turbine_type: 'nrel_5MW'
-
-###
-# Setting for generator losses to power.
-generator_efficiency: 1.0
-
-###
-# Hub height.
-hub_height: 90.0
-
-###
-# Cosine exponent for power loss due to yaw misalignment.
-pP: 1.88
-
-###
-# Cosine exponent for power loss due to tilt.
-pT: 1.88
-
-###
-# Rotor diameter.
-rotor_diameter: 126.0
-
-###
-# Tip speed ratio defined as linear blade tip speed normalized by the incoming wind speed.
-TSR: 8.0
-
-###
-# The air density at which the Cp and Ct curves are defined.
-ref_density_cp_ct: 1.225
-
-###
-# The tilt angle at which the Cp and Ct curves are defined. This is used to capture
-# the effects of a floating platform on a turbine's power and wake.
-ref_tilt_cp_ct: 5.0
-
-###
-# Cp and Ct as a function of wind speed for the turbine's full range of operating conditions.
-power_thrust_table:
-  power:
-    - 0.0
-    - 0.000000
-    - 0.000000
-    - 0.178085
-    - 0.289075
-    - 0.349022
-    - 0.384728
-    - 0.406059
-    - 0.420228
-    - 0.428823
-    - 0.433873
-    - 0.436223
-    - 0.436845
-    - 0.436575
-    - 0.436511
-    - 0.436561
-    - 0.436517
-    - 0.435903
-    - 0.434673
-    - 0.433230
-    - 0.430466
-    - 0.378869
-    - 0.335199
-    - 0.297991
-    - 0.266092
-    - 0.238588
-    - 0.214748
-    - 0.193981
-    - 0.175808
-    - 0.159835
-    - 0.145741
-    - 0.133256
-    - 0.122157
-    - 0.112257
-    - 0.103399
-    - 0.095449
-    - 0.088294
-    - 0.081836
-    - 0.075993
-    - 0.070692
-    - 0.065875
-    - 0.061484
-    - 0.057476
-    - 0.053809
-    - 0.050447
-    - 0.047358
-    - 0.044518
-    - 0.041900
-    - 0.039483
-    - 0.0
-    - 0.0
-  thrust:
-    - 0.0
-    - 0.0
-    - 0.0
-    - 0.99
-    - 0.99
-    - 0.97373036
-    - 0.92826162
-    - 0.89210543
-    - 0.86100905
-    - 0.835423
-    - 0.81237673
-    - 0.79225789
-    - 0.77584769
-    - 0.7629228
-    - 0.76156073
-    - 0.76261984
-    - 0.76169723
-    - 0.75232027
-    - 0.74026851
-    - 0.72987175
-    - 0.70701647
-    - 0.54054532
-    - 0.45509459
-    - 0.39343381
-    - 0.34250785
-    - 0.30487242
-    - 0.27164979
-    - 0.24361964
-    - 0.21973831
-    - 0.19918151
-    - 0.18131868
-    - 0.16537679
-    - 0.15103727
-    - 0.13998636
-    - 0.1289037
-    - 0.11970413
-    - 0.11087113
-    - 0.10339901
-    - 0.09617888
-    - 0.09009926
-    - 0.08395078
-    - 0.0791188
-    - 0.07448356
-    - 0.07050731
-    - 0.06684119
-    - 0.06345518
-    - 0.06032267
-    - 0.05741999
-    - 0.05472609
-    - 0.0
-    - 0.0
-  wind_speed:
-    - 0.0
-    - 2.0
-    - 2.5
-    - 3.0
-    - 3.5
-    - 4.0
-    - 4.5
-    - 5.0
-    - 5.5
-    - 6.0
-    - 6.5
-    - 7.0
-    - 7.5
-    - 8.0
-    - 8.5
-    - 9.0
-    - 9.5
-    - 10.0
-    - 10.5
-    - 11.0
-    - 11.5
-    - 12.0
-    - 12.5
-    - 13.0
-    - 13.5
-    - 14.0
-    - 14.5
-    - 15.0
-    - 15.5
-    - 16.0
-    - 16.5
-    - 17.0
-    - 17.5
-    - 18.0
-    - 18.5
-    - 19.0
-    - 19.5
-    - 20.0
-    - 20.5
-    - 21.0
-    - 21.5
-    - 22.0
-    - 22.5
-    - 23.0
-    - 23.5
-    - 24.0
-    - 24.5
-    - 25.0
-    - 25.01
-    - 25.02
-    - 50.0
-
-###
-# A boolean flag used when the user wants FLORIS to use the user-supplied multi-dimensional
-# Cp/Ct information.
-multi_dimensional_cp_ct: False
-
-###
-# The path to the .csv file that contains the multi-dimensional Cp/Ct data. The format of this
-# file is such that any external conditions, such as wave height or wave period, that the
-# Cp/Ct data is dependent on come first, in column format. The last three columns of the .csv
-# file must be ``ws``, ``Cp``, and ``Ct``, in that order. An example of fictional data is given
-# in ``floris/turbine_library/iea_15MW_multi_dim_Tp_Hs.csv``.
-power_thrust_data_file: '../floris/turbine_library/iea_15MW_multi_dim_Tp_Hs.csv'
diff --git a/floris/turbine_library/nrel_5MW_v4converted.yaml b/floris/turbine_library/nrel_5MW_v4converted.yaml
deleted file mode 100644
index 0bd7fb08a..000000000
--- a/floris/turbine_library/nrel_5MW_v4converted.yaml
+++ /dev/null
@@ -1,167 +0,0 @@
-turbine_type: nrel_5MW
-generator_efficiency: 1.0
-hub_height: 90.0
-rotor_diameter: 126.0
-TSR: 8.0
-power_thrust_model: cosine-loss
-power_thrust_table:
-  ref_air_density: 1.225
-  ref_tilt: 5.0
-  pP: 1.88
-  pT: 1.88
-  wind_speed:
-  - 0.0
-  - 2.0
-  - 2.5
-  - 3.0
-  - 3.5
-  - 4.0
-  - 4.5
-  - 5.0
-  - 5.5
-  - 6.0
-  - 6.5
-  - 7.0
-  - 7.5
-  - 8.0
-  - 8.5
-  - 9.0
-  - 9.5
-  - 10.0
-  - 10.5
-  - 11.0
-  - 11.5
-  - 12.0
-  - 12.5
-  - 13.0
-  - 13.5
-  - 14.0
-  - 14.5
-  - 15.0
-  - 15.5
-  - 16.0
-  - 16.5
-  - 17.0
-  - 17.5
-  - 18.0
-  - 18.5
-  - 19.0
-  - 19.5
-  - 20.0
-  - 20.5
-  - 21.0
-  - 21.5
-  - 22.0
-  - 22.5
-  - 23.0
-  - 23.5
-  - 24.0
-  - 24.5
-  - 25.0
-  - 25.01
-  - 25.02
-  - 50.0
-  power:
-  - 0.0
-  - 0.0
-  - 0.0
-  - 36.722155848902254
-  - 94.65678115354163
-  - 170.596391826316
-  - 267.74933496419163
-  - 387.64681352354114
-  - 533.9617151673435
-  - 707.4062402827329
-  - 909.9965782677073
-  - 1142.7197798534328
-  - 1407.4994184495558
-  - 1707.1272243371227
-  - 2047.3355806543098
-  - 2430.5778091805637
-  - 2858.3081150622215
-  - 3329.100627354195
-  - 3842.9755943182267
-  - 4403.86140594055
-  - 4999.993508066915
-  - 4999.99850473839
-  - 4999.997854617397
-  - 5000.00304890274
-  - 5000.002113339491
-  - 4999.997282778227
-  - 5000.002243172759
-  - 5000.000360590384
-  - 5000.009074693787
-  - 4999.987262704901
-  - 5000.007345811091
-  - 5000.006875165497
-  - 4999.994990648268
-  - 4999.97705933755
-  - 4999.983698972648
-  - 4999.991318085188
-  - 5000.024022703328
-  - 5000.016589748782
-  - 5000.025709581146
-  - 4999.944891236294
-  - 5000.035324880168
-  - 4999.967955734346
-  - 5000.013248451465
-  - 5000.063199891701
-  - 5000.068982245371
-  - 4999.9325188896555
-  - 5000.011035557985
-  - 5000.012771123277
-  - 4717.243379938609
-  - 0.0
-  - 0.0
-  thrust_coefficient:
-  - 0.0
-  - 0.0
-  - 0.0
-  - 0.99
-  - 0.99
-  - 0.97373036
-  - 0.92826162
-  - 0.89210543
-  - 0.86100905
-  - 0.835423
-  - 0.81237673
-  - 0.79225789
-  - 0.77584769
-  - 0.7629228
-  - 0.76156073
-  - 0.76261984
-  - 0.76169723
-  - 0.75232027
-  - 0.74026851
-  - 0.72987175
-  - 0.70701647
-  - 0.54054532
-  - 0.45509459
-  - 0.39343381
-  - 0.34250785
-  - 0.30487242
-  - 0.27164979
-  - 0.24361964
-  - 0.21973831
-  - 0.19918151
-  - 0.18131868
-  - 0.16537679
-  - 0.15103727
-  - 0.13998636
-  - 0.1289037
-  - 0.11970413
-  - 0.11087113
-  - 0.10339901
-  - 0.09617888
-  - 0.09009926
-  - 0.08395078
-  - 0.0791188
-  - 0.07448356
-  - 0.07050731
-  - 0.06684119
-  - 0.06345518
-  - 0.06032267
-  - 0.05741999
-  - 0.05472609
-  - 0.0
-  - 0.0
diff --git a/floris/turbine_library/nrel_5MW_v4updated.yaml b/floris/turbine_library/nrel_5MW_v4updated.yaml
deleted file mode 100644
index d12fcf668..000000000
--- a/floris/turbine_library/nrel_5MW_v4updated.yaml
+++ /dev/null
@@ -1,191 +0,0 @@
-
-###
-# An ID for this type of turbine definition.
-# This is not currently used, but it will be enabled in the future. This should typically
-# match the root name of the file.
-
-# Data based on:
-# https://github.com/NREL/turbine-models/blob/master/Offshore/NREL_5MW_126_RWT.csv
-turbine_type: 'nrel_5MW'
-
-###
-# Setting for generator losses to power.
-generator_efficiency: 1.0
-
-###
-# Hub height.
-hub_height: 90.0
-
-###
-# Rotor diameter.
-rotor_diameter: 126.0
-
-###
-# Tip speed ratio defined as linear blade tip speed normalized by the incoming wind speed.
-TSR: 8.0
-
-###
-# Cp and Ct as a function of wind speed for the turbine's full range of operating conditions.
-power_thrust_table:
-  ### Power thrust table parameters
-  # The air density at which the Cp and Ct curves are defined.
-  ref_air_density: 1.225
-  # The tilt angle at which the Cp and Ct curves are defined. This is used to capture
-  # the effects of a floating platform on a turbine's power and wake.
-  ref_tilt: 5.0
-  # Cosine exponent for power loss due to tilt.
-  pT: 1.88
-  # Cosine exponent for power loss due to yaw misalignment.
-  pP: 1.88
-  ### Power thrust table data
-  power:
-    - 0.0
-    - 0.0
-    - 40.5
-    - 177.7
-    - 403.9
-    - 737.6
-    - 1187.2
-    - 1771.1
-    - 2518.6
-    - 3448.41
-    - 3552.15
-    - 3657.95
-    - 3765.16
-    - 3873.95
-    - 3984.49
-    - 4096.56
-    - 4210.69
-    - 4326.15
-    - 4443.41
-    - 4562.51
-    - 4683.43
-    - 4806.18
-    - 4929.92
-    - 5000.37
-    - 5000.02
-    - 5000.0
-    - 4999.99
-    - 5000.0
-    - 5000.0
-    - 5000.0
-    - 5000.0
-    - 5000.0
-    - 5000.0
-    - 5000.0
-    - 5000.0
-    - 5000.0
-    - 5000.0
-    - 5000.0
-    - 5000.0
-    - 5000.0
-    - 5000.0
-    - 5000.0
-    - 5000.0
-    - 0.0
-    - 0.0
-  thrust_coefficient:
-    - 0.0
-    - 0.0
-    - 2.497990147
-    - 1.766833378
-    - 1.408360153
-    - 1.201348494
-    - 1.065133759
-    - 0.977936955
-    - 0.936281559
-    - 0.905425262
-    - 0.902755344
-    - 0.90016155
-    - 0.895745235
-    - 0.889630636
-    - 0.883651878
-    - 0.877788261
-    - 0.872068513
-    - 0.866439424
-    - 0.860930874
-    - 0.855544522
-    - 0.850276473
-    - 0.845148048
-    - 0.840105118
-    - 0.811165614
-    - 0.764009698
-    - 0.728584172
-    - 0.698944675
-    - 0.672754103
-    - 0.649082557
-    - 0.627368152
-    - 0.471373796
-    - 0.372703289
-    - 0.30290131
-    - 0.251235686
-    - 0.211900735
-    - 0.181210571
-    - 0.156798163
-    - 0.137091212
-    - 0.120753164
-    - 0.106941036
-    - 0.095319286
-    - 0.085631997
-    - 0.077368152
-    - 0.0
-    - 0.0
-  wind_speed:
-    - 0.0
-    - 2.9
-    - 3.0
-    - 4.0
-    - 5.0
-    - 6.0
-    - 7.0
-    - 8.0
-    - 9.0
-    - 10.0
-    - 10.1
-    - 10.2
-    - 10.3
-    - 10.4
-    - 10.5
-    - 10.6
-    - 10.7
-    - 10.8
-    - 10.9
-    - 11.0
-    - 11.1
-    - 11.2
-    - 11.3
-    - 11.4
-    - 11.5
-    - 11.6
-    - 11.7
-    - 11.8
-    - 11.9
-    - 12.0
-    - 13.0
-    - 14.0
-    - 15.0
-    - 16.0
-    - 17.0
-    - 18.0
-    - 19.0
-    - 20.0
-    - 21.0
-    - 22.0
-    - 23.0
-    - 24.0
-    - 25.0
-    - 25.01
-    - 50.0
-
-###
-# A boolean flag used when the user wants FLORIS to use the user-supplied multi-dimensional
-# Cp/Ct information.
-multi_dimensional_cp_ct: False
-
-###
-# The path to the .csv file that contains the multi-dimensional Cp/Ct data. The format of this
-# file is such that any external conditions, such as wave height or wave period, that the
-# Cp/Ct data is dependent on come first, in column format. The last three columns of the .csv
-# file must be ``ws``, ``Cp``, and ``Ct``, in that order. An example of fictional data is given
-# in ``floris/turbine_library/iea_15MW_multi_dim_Tp_Hs.csv``.
-power_thrust_data_file: '../floris/turbine_library/iea_15MW_multi_dim_Tp_Hs.csv'
diff --git a/floris/turbine_library/turbine_utilities.py b/floris/turbine_library/turbine_utilities.py
index 9de8dce6b..bf553d2df 100644
--- a/floris/turbine_library/turbine_utilities.py
+++ b/floris/turbine_library/turbine_utilities.py
@@ -24,11 +24,11 @@ def build_cosine_loss_turbine_dict(
     turbine_data_dict,
     turbine_name,
     file_name=None,
-    generator_efficiency=1.0,
+    generator_efficiency=0.944,
     hub_height=90.0,
     pP=1.88,
     pT=1.88,
-    rotor_diameter=126.0,
+    rotor_diameter=125.88,
     TSR=8.0,
     ref_air_density=1.225,
     ref_tilt=5.0
@@ -106,7 +106,11 @@ def build_cosine_loss_turbine_dict(
         validity_mask = (Cp != 0) | (u != 0)
         p = np.zeros_like(Cp, dtype=float)
 
-        p[validity_mask] = Cp[validity_mask]*0.5*ref_air_density*A*u[validity_mask]**3 / 1000
+        p[validity_mask] = (
+            Cp[validity_mask]
+            * 0.5 * ref_air_density * A * generator_efficiency
+            * u[validity_mask]**3 / 1000
+        )
 
     else:
         raise KeyError(
diff --git a/floris/turbine_library/x_20MW.yaml b/floris/turbine_library/x_20MW.yaml
deleted file mode 100644
index 9d515db89..000000000
--- a/floris/turbine_library/x_20MW.yaml
+++ /dev/null
@@ -1,178 +0,0 @@
-turbine_type: 'x_20MW'
-generator_efficiency: 1.0
-hub_height: 165.0
-pP: 1.88
-pT: 1.88
-rotor_diameter: 252.0
-TSR: 8.0
-ref_air_density: 1.225
-ref_tilt: 5.0
-power_thrust_table:
-  power:
-    - 0.000000
-    - 0.000000
-    - 0.074000
-    - 0.325100
-    - 0.376200
-    - 0.402700
-    - 0.415600
-    - 0.423000
-    - 0.427400
-    - 0.429300
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429800
-    - 0.429603
-    - 0.354604
-    - 0.316305
-    - 0.281478
-    - 0.250068
-    - 0.221924
-    - 0.196845
-    - 0.174592
-    - 0.154919
-    - 0.137570
-    - 0.122300
-    - 0.108881
-    - 0.097094
-    - 0.086747
-    - 0.077664
-    - 0.069686
-    - 0.062677
-    - 0.056511
-    - 0.051083
-    - 0.046299
-    - 0.043182
-    - 0.033935
-    - 0.000000
-    - 0.000000
-  thrust_coefficient:
-    - 0.000000
-    - 0.000000
-    - 0.770100
-    - 0.770100
-    - 0.776300
-    - 0.782400
-    - 0.782000
-    - 0.780200
-    - 0.777200
-    - 0.771900
-    - 0.776800
-    - 0.776800
-    - 0.776800
-    - 0.776800
-    - 0.776800
-    - 0.776800
-    - 0.776800
-    - 0.776800
-    - 0.776800
-    - 0.776800
-    - 0.776800
-    - 0.776800
-    - 0.776800
-    - 0.776800
-    - 0.776800
-    - 0.776800
-    - 0.776800
-    - 0.776800
-    - 0.776800
-    - 0.767500
-    - 0.765100
-    - 0.758700
-    - 0.505600
-    - 0.431000
-    - 0.370800
-    - 0.320900
-    - 0.278800
-    - 0.243200
-    - 0.212800
-    - 0.186800
-    - 0.164500
-    - 0.145400
-    - 0.128900
-    - 0.114700
-    - 0.102400
-    - 0.091800
-    - 0.082500
-    - 0.074500
-    - 0.067500
-    - 0.061300
-    - 0.055900
-    - 0.051200
-    - 0.047000
-    - 0.000000
-    - 0.000000
-  wind_speed:
-    - 0.000000
-    - 2.900000
-    - 3.000000
-    - 4.000000
-    - 4.514700
-    - 5.000800
-    - 5.457400
-    - 5.883300
-    - 6.277700
-    - 6.639700
-    - 6.968400
-    - 7.263200
-    - 7.523400
-    - 7.748400
-    - 7.937700
-    - 8.090900
-    - 8.207700
-    - 8.287700
-    - 8.330800
-    - 8.337000
-    - 8.367800
-    - 8.435600
-    - 8.540100
-    - 8.681200
-    - 8.858500
-    - 9.071700
-    - 9.320200
-    - 9.603500
-    - 9.921000
-    - 10.272000
-    - 10.655700
-    - 11.507700
-    - 12.267700
-    - 12.744100
-    - 13.249400
-    - 13.782400
-    - 14.342000
-    - 14.926900
-    - 15.535900
-    - 16.167500
-    - 16.820400
-    - 17.493200
-    - 18.184200
-    - 18.892100
-    - 19.615200
-    - 20.351900
-    - 21.100600
-    - 21.859600
-    - 22.627300
-    - 23.401900
-    - 24.181700
-    - 24.750000
-    - 25.010000
-    - 25.020000
-    - 50.000000
diff --git a/tests/conftest.py b/tests/conftest.py
index d1aefa535..65a0144a4 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -201,9 +201,9 @@ class SampleInputs:
     def __init__(self):
         self.turbine = {
             "turbine_type": "nrel_5mw",
-            "rotor_diameter": 126.0,
+            "rotor_diameter": 125.88,
             "hub_height": 90.0,
-            "generator_efficiency": 1.0,
+            "generator_efficiency": 0.944,
             "power_thrust_model": "cosine-loss",
             "power_thrust_table": {
                 "pP": 1.88,
@@ -213,152 +213,170 @@ def __init__(self):
                 "power": [
                     0.0,
                     0.0,
-                    36.722155848902254,
-                    94.65678115354163,
-                    170.596391826316,
-                    267.74933496419163,
-                    387.64681352354114,
-                    533.9617151673435,
-                    707.4062402827329,
-                    909.9965782677073,
-                    1142.7197798534328,
-                    1407.4994184495558,
-                    1707.1272243371227,
-                    2047.3355806543098,
-                    2430.5778091805637,
-                    2858.3081150622215,
-                    3329.100627354195,
-                    3842.9755943182267,
-                    4403.86140594055,
-                    4999.993508066915,
-                    4999.99850473839,
-                    4999.997854617397,
-                    5000.00304890274,
-                    5000.002113339491,
-                    4999.997282778227,
-                    5000.002243172759,
-                    5000.000360590384,
-                    5000.009074693787,
-                    4999.987262704901,
-                    5000.007345811091,
-                    5000.006875165497,
-                    4999.994990648268,
-                    4999.97705933755,
-                    4999.983698972648,
-                    4999.991318085188,
-                    5000.024022703328,
-                    5000.016589748782,
-                    5000.025709581146,
-                    4999.944891236294,
-                    5000.035324880168,
-                    4999.967955734346,
-                    5000.013248451465,
-                    5000.063199891701,
-                    5000.068982245371,
-                    4999.9325188896555,
-                    5000.011035557985,
-                    5000.012771123277,
-                    5000.0
+                    40.51801151756921,
+                    177.6716250641970,
+                    403.900880943964,
+                    737.5889584824021,
+                    1187.177403061187,
+                    1239.245945375778,
+                    1292.518429372350,
+                    1347.321314747710,
+                    1403.257372557894,
+                    1460.701189873070,
+                    1519.641912597998,
+                    1580.174365096404,
+                    1642.110316691816,
+                    1705.758292831,
+                    1771.165952889397,
+                    2518.553107505315,
+                    3448.381605840943,
+                    3552.140809000129,
+                    3657.954543179412,
+                    3765.121299313842,
+                    3873.928844315059,
+                    3984.480022695550,
+                    4096.582833096852,
+                    4210.721306623712,
+                    4326.154305853405,
+                    4443.395565353604,
+                    4562.497934188341,
+                    4683.419890251577,
+                    4806.164748311019,
+                    4929.931918769215,
+                    5000.920541636473,
+                    5000.155331018289,
+                    4999.981249947396,
+                    4999.95577837709,
+                    4999.977954833183,
+                    4999.99729673573,
+                    5000.00107322333,
+                    5000.006250888532,
+                    5000.005783964932,
+                    5000.018048135545,
+                    5000.00295266134,
+                    5000.015689533812,
+                    5000.027006739212,
+                    5000.015694513332,
+                    5000.037874470919,
+                    5000.021829556129,
+                    5000.047786595209,
+                    5000.006722827633,
+                    5000.003398457957,
+                    5000.044012521576,
+                    0.0,
+                    0.0,
                 ],
                 "thrust_coefficient": [
                     0.0,
                     0.0,
-                    0.99,
-                    0.99,
-                    0.97373036,
-                    0.92826162,
-                    0.89210543,
-                    0.86100905,
-                    0.835423,
-                    0.81237673,
-                    0.79225789,
-                    0.77584769,
-                    0.7629228,
-                    0.76156073,
-                    0.76261984,
-                    0.76169723,
-                    0.75232027,
-                    0.74026851,
-                    0.72987175,
-                    0.70701647,
-                    0.54054532,
-                    0.45509459,
-                    0.39343381,
-                    0.34250785,
-                    0.30487242,
-                    0.27164979,
-                    0.24361964,
-                    0.21973831,
-                    0.19918151,
-                    0.18131868,
-                    0.16537679,
-                    0.15103727,
-                    0.13998636,
-                    0.1289037,
-                    0.11970413,
-                    0.11087113,
-                    0.10339901,
-                    0.09617888,
-                    0.09009926,
-                    0.08395078,
-                    0.0791188,
-                    0.07448356,
-                    0.07050731,
-                    0.06684119,
-                    0.06345518,
-                    0.06032267,
-                    0.05741999,
-                    0.05472609,
+                    1.132034888,
+                    0.999470963,
+                    0.917697381,
+                    0.860849503,
+                    0.815371198,
+                    0.811614904,
+                    0.807939328,
+                    0.80443352,
+                    0.800993851,
+                    0.79768116,
+                    0.794529244,
+                    0.791495834,
+                    0.788560434,
+                    0.787217182,
+                    0.787127977,
+                    0.785839257,
+                    0.783812219,
+                    0.783568108,
+                    0.783328285,
+                    0.781194418,
+                    0.777292539,
+                    0.773464375,
+                    0.769690236,
+                    0.766001924,
+                    0.762348072,
+                    0.758760824,
+                    0.755242872,
+                    0.751792927,
+                    0.748434131,
+                    0.745113997,
+                    0.717806682,
+                    0.672204789,
+                    0.63831272,
+                    0.610176496,
+                    0.585456847,
+                    0.563222111,
+                    0.542912273,
+                    0.399312061,
+                    0.310517829,
+                    0.248633226,
+                    0.203543725,
+                    0.169616419,
+                    0.143478955,
+                    0.122938861,
+                    0.106515296,
+                    0.093026095,
+                    0.081648606,
+                    0.072197368,
+                    0.064388275,
+                    0.057782745,
+                    0.0,
+                    0.0,
                 ],
                 "wind_speed": [
-                    2.0,
-                    2.5,
+                    0.0,
+                    2.9,
                     3.0,
-                    3.5,
                     4.0,
-                    4.5,
                     5.0,
-                    5.5,
                     6.0,
-                    6.5,
                     7.0,
+                    7.1,
+                    7.2,
+                    7.3,
+                    7.4,
                     7.5,
+                    7.6,
+                    7.7,
+                    7.8,
+                    7.9,
                     8.0,
-                    8.5,
                     9.0,
-                    9.5,
                     10.0,
+                    10.1,
+                    10.2,
+                    10.3,
+                    10.4,
                     10.5,
+                    10.6,
+                    10.7,
+                    10.8,
+                    10.9,
                     11.0,
+                    11.1,
+                    11.2,
+                    11.3,
+                    11.4,
                     11.5,
+                    11.6,
+                    11.7,
+                    11.8,
+                    11.9,
                     12.0,
-                    12.5,
                     13.0,
-                    13.5,
                     14.0,
-                    14.5,
                     15.0,
-                    15.5,
                     16.0,
-                    16.5,
                     17.0,
-                    17.5,
                     18.0,
-                    18.5,
                     19.0,
-                    19.5,
                     20.0,
-                    20.5,
                     21.0,
-                    21.5,
                     22.0,
-                    22.5,
                     23.0,
-                    23.5,
                     24.0,
-                    24.5,
                     25.0,
-                    25.5,
+                    25.1,
+                    50.0,
                 ],
             },
             "TSR": 8.0
@@ -496,3 +514,186 @@ def __init__(self):
             "description": "Inputs used for testing",
             "floris_version": "v3.0.0",
         }
+
+        self.v3type_turbine = {
+            "turbine_type": "nrel_5mw_v3type",
+            "rotor_diameter": 125.88,
+            "hub_height": 90.0,
+            "generator_efficiency": 0.944,
+            "power_thrust_model": "cosine-loss",
+            "pP": 1.88,
+            "pT": 1.88,
+            "ref_density_cp_ct": 1.225,
+            "ref_tilt_cp_ct": 5.0,
+            "TSR": 8.0,
+            "power_thrust_table": {
+                "power": [
+                    0.0,
+                    0.0,
+                    0.208546508,
+                    0.385795061,
+                    0.449038264,
+                    0.474546985,
+                    0.480994449,
+                    0.481172749,
+                    0.481235678,
+                    0.481305875,
+                    0.481238912,
+                    0.481167356,
+                    0.481081935,
+                    0.481007003,
+                    0.480880409,
+                    0.480789285,
+                    0.480737341,
+                    0.480111543,
+                    0.479218839,
+                    0.479120347,
+                    0.479022984,
+                    0.478834971,
+                    0.478597234,
+                    0.478324162,
+                    0.477994289,
+                    0.477665338,
+                    0.477253698,
+                    0.476819542,
+                    0.476368667,
+                    0.475896732,
+                    0.475404347,
+                    0.474814698,
+                    0.469087611,
+                    0.456886723,
+                    0.445156758,
+                    0.433837552,
+                    0.422902868,
+                    0.412332387,
+                    0.402110045,
+                    0.316270768,
+                    0.253224057,
+                    0.205881042,
+                    0.169640239,
+                    0.141430529,
+                    0.119144335,
+                    0.101304591,
+                    0.086856409,
+                    0.075029591,
+                    0.065256635,
+                    0.057109143,
+                    0.050263779,
+                    0.044470536,
+                    0.0,
+                    0.0,
+                ],
+                "thrust": [
+                    0.0,
+                    0.0,
+                    1.132034888,
+                    0.999470963,
+                    0.917697381,
+                    0.860849503,
+                    0.815371198,
+                    0.811614904,
+                    0.807939328,
+                    0.80443352,
+                    0.800993851,
+                    0.79768116,
+                    0.794529244,
+                    0.791495834,
+                    0.788560434,
+                    0.787217182,
+                    0.787127977,
+                    0.785839257,
+                    0.783812219,
+                    0.783568108,
+                    0.783328285,
+                    0.781194418,
+                    0.777292539,
+                    0.773464375,
+                    0.769690236,
+                    0.766001924,
+                    0.762348072,
+                    0.758760824,
+                    0.755242872,
+                    0.751792927,
+                    0.748434131,
+                    0.745113997,
+                    0.717806682,
+                    0.672204789,
+                    0.63831272,
+                    0.610176496,
+                    0.585456847,
+                    0.563222111,
+                    0.542912273,
+                    0.399312061,
+                    0.310517829,
+                    0.248633226,
+                    0.203543725,
+                    0.169616419,
+                    0.143478955,
+                    0.122938861,
+                    0.106515296,
+                    0.093026095,
+                    0.081648606,
+                    0.072197368,
+                    0.064388275,
+                    0.057782745,
+                    0.0,
+                    0.0,
+                ],
+                "wind_speed": [
+                    0.0,
+                    2.9,
+                    3.0,
+                    4.0,
+                    5.0,
+                    6.0,
+                    7.0,
+                    7.1,
+                    7.2,
+                    7.3,
+                    7.4,
+                    7.5,
+                    7.6,
+                    7.7,
+                    7.8,
+                    7.9,
+                    8.0,
+                    9.0,
+                    10.0,
+                    10.1,
+                    10.2,
+                    10.3,
+                    10.4,
+                    10.5,
+                    10.6,
+                    10.7,
+                    10.8,
+                    10.9,
+                    11.0,
+                    11.1,
+                    11.2,
+                    11.3,
+                    11.4,
+                    11.5,
+                    11.6,
+                    11.7,
+                    11.8,
+                    11.9,
+                    12.0,
+                    13.0,
+                    14.0,
+                    15.0,
+                    16.0,
+                    17.0,
+                    18.0,
+                    19.0,
+                    20.0,
+                    21.0,
+                    22.0,
+                    23.0,
+                    24.0,
+                    25.0,
+                    25.1,
+                    50.0,
+                ],
+            },
+        }
diff --git a/tests/data/nrel_5MW_v3legacy.yaml b/tests/data/nrel_5MW_v3legacy.yaml
deleted file mode 100644
index 5fdef28ad..000000000
--- a/tests/data/nrel_5MW_v3legacy.yaml
+++ /dev/null
@@ -1,166 +0,0 @@
-turbine_type: 'nrel_5MW_FLORISv3'
-generator_efficiency: 1.0
-hub_height: 90.0
-pP: 1.88
-pT: 1.88
-rotor_diameter: 126.0
-TSR: 8.0
-ref_density_cp_ct: 1.225
-ref_tilt_cp_ct: 5.0
-power_thrust_table:
-  power:
-    - 0.0
-    - 0.000000
-    - 0.000000
-    - 0.178085
-    - 0.289075
-    - 0.349022
-    - 0.384728
-    - 0.406059
-    - 0.420228
-    - 0.428823
-    - 0.433873
-    - 0.436223
-    - 0.436845
-    - 0.436575
-    - 0.436511
-    - 0.436561
-    - 0.436517
-    - 0.435903
-    - 0.434673
-    - 0.433230
-    - 0.430466
-    - 0.378869
-    - 0.335199
-    - 0.297991
-    - 0.266092
-    - 0.238588
-    - 0.214748
-    - 0.193981
-    - 0.175808
-    - 0.159835
-    - 0.145741
-    - 0.133256
-    - 0.122157
-    - 0.112257
-    - 0.103399
-    - 0.095449
-    - 0.088294
-    - 0.081836
-    - 0.075993
-    - 0.070692
-    - 0.065875
-    - 0.061484
-    - 0.057476
-    - 0.053809
-    - 0.050447
-    - 0.047358
-    - 0.044518
-    - 0.041900
-    - 0.039483
-    - 0.0
-    - 0.0
-  thrust:
-    - 0.0
-    - 0.0
-    - 0.0
-    - 0.99
-    - 0.99
-    - 0.97373036
-    - 0.92826162
-    - 0.89210543
-    - 0.86100905
-    - 0.835423
-    - 0.81237673
-    - 0.79225789
-    - 0.77584769
-    - 0.7629228
-    - 0.76156073
-    - 0.76261984
-    - 0.76169723
-    - 0.75232027
-    - 0.74026851
-    - 0.72987175
-    - 0.70701647
-    - 0.54054532
-    - 0.45509459
-    - 0.39343381
-    - 0.34250785
-    - 0.30487242
-    - 0.27164979
-    - 0.24361964
-    - 0.21973831
-    - 0.19918151
-    - 0.18131868
-    - 0.16537679
-    - 0.15103727
-    - 0.13998636
-    - 0.1289037
-    - 0.11970413
-    - 0.11087113
-    - 0.10339901
-    - 0.09617888
-    - 0.09009926
-    - 0.08395078
-    - 0.0791188
-    - 0.07448356
-    - 0.07050731
-    - 0.06684119
-    - 0.06345518
-    - 0.06032267
-    - 0.05741999
-    - 0.05472609
-    - 0.0
-    - 0.0
-  wind_speed:
-    - 0.0
-    - 2.0
-    - 2.5
-    - 3.0
-    - 3.5
-    - 4.0
-    - 4.5
-    - 5.0
-    - 5.5
-    - 6.0
-    - 6.5
-    - 7.0
-    - 7.5
-    - 8.0
-    - 8.5
-    - 9.0
-    - 9.5
-    - 10.0
-    - 10.5
-    - 11.0
-    - 11.5
-    - 12.0
-    - 12.5
-    - 13.0
-    - 13.5
-    - 14.0
-    - 14.5
-    - 15.0
-    - 15.5
-    - 16.0
-    - 16.5
-    - 17.0
-    - 17.5
-    - 18.0
-    - 18.5
-    - 19.0
-    - 19.5
-    - 20.0
-    - 20.5
-    - 21.0
-    - 21.5
-    - 22.0
-    - 22.5
-    - 23.0
-    - 23.5
-    - 24.0
-    - 24.5
-    - 25.0
-    - 25.01
-    - 25.02
-    - 50.0
diff --git a/tests/farm_unit_test.py b/tests/farm_unit_test.py
index b38d91191..8fa9b28b5 100644
--- a/tests/farm_unit_test.py
+++ b/tests/farm_unit_test.py
@@ -94,7 +94,7 @@ def test_check_turbine_type(sample_inputs_fixture: SampleInputs):
 
     # All list of strings from internal library
     farm_data = deepcopy(sample_inputs_fixture.farm)
-    farm_data["turbine_type"] = ["nrel_5MW", "iea_10MW", "iea_15MW", "x_20MW", "nrel_5MW"]
+    farm_data["turbine_type"] = ["nrel_5MW", "iea_10MW", "iea_15MW", "nrel_5MW", "nrel_5MW"]
     farm_data["layout_x"] = np.arange(0, 500, 100)
     farm_data["layout_y"] = np.zeros(5)
     farm = Farm.from_dict(farm_data)
diff --git a/tests/reg_tests/cumulative_curl_regression_test.py b/tests/reg_tests/cumulative_curl_regression_test.py
index f5e58caa2..531224656 100644
--- a/tests/reg_tests/cumulative_curl_regression_test.py
+++ b/tests/reg_tests/cumulative_curl_regression_test.py
@@ -38,27 +38,27 @@
     [
         # 8 m/s
         [
-            [7.9736330, 0.7636044, 1691326.6483808, 0.2568973],
-            [5.4838164, 0.8620156, 529225.9172271, 0.3142687],
-            [5.0221433, 0.8907283, 394126.6156555, 0.3347186],
+            [7.9736858, 0.7871515, 1753954.4591792, 0.2693224],
+            [5.4510872, 0.8920540, 554423.2959292, 0.3357243],
+            [5.0438692, 0.9152035, 418539.5184876, 0.3544008],
         ],
         # 9 m/s
         [
-            [8.9703371, 0.7625570, 2407841.6718785, 0.2563594],
-            [6.1712539, 0.8275295, 776795.0248898, 0.2923521],
-            [5.6500663, 0.8533298, 586018.0719934, 0.3085123],
+            [8.9703965, 0.7858774, 2496427.8618358, 0.2686331],
+            [6.1342847, 0.8547425, 797961.8242685, 0.3094367],
+            [5.6482366, 0.8808465, 620209.7062129, 0.3274069],
         ],
         # 10 m/s
         [
-            [9.9670412, 0.7529384, 3298067.1555604, 0.2514735],
-            [6.8779113, 0.7971705, 1085894.0434488, 0.2748170],
-            [6.2985764, 0.8216609, 828383.6208269, 0.2888489],
+            [9.9671073, 0.7838789, 3417797.0050916, 0.2675559],
+            [6.8191059, 0.8235980, 1105849.4970759, 0.2899988],
+            [6.2802136, 0.8481059, 863569.7643645, 0.3051320],
         ],
         # 11 m/s
         [
-            [10.9637454, 0.7306256, 4363191.9880631, 0.2404936],
-            [7.6258784, 0.7725938, 1482932.7552807, 0.2615643],
-            [6.9611771, 0.7938200, 1124649.7898263, 0.2729648],
+            [10.9638180, 0.7565157, 4519404.3072862, 0.2532794],
+            [7.5591728, 0.7958161, 1495578.0671426, 0.2740664],
+            [6.9317813, 0.8184737, 1156507.0595179, 0.2869705],
         ],
     ]
 )
@@ -67,27 +67,27 @@
     [
         # 8 m/s
         [
-            [7.9736330, 0.7606986, 1679924.0721706, 0.2549029],
-            [5.5274362, 0.8596051, 543479.0426304, 0.3126534],
-            [5.0310723, 0.8901730, 396739.4832795, 0.3342992],
+            [7.9736858, 0.7841561, 1741508.6722008, 0.2671213],
+            [5.4955257, 0.8895278, 569251.8849842, 0.3338132],
+            [5.0512690, 0.9147828, 421008.7273674, 0.3540401],
         ],
         # 9 m/s
         [
-            [8.9703371, 0.7596552, 2391434.0080674, 0.2543734],
-            [6.2202711, 0.8252701, 796655.8471824, 0.2909965],
-            [5.6617378, 0.8527326, 590066.7909898, 0.3081228],
+            [8.9703965, 0.7828869, 2480428.8963141, 0.2664440],
+            [6.1842430, 0.8524704, 820422.5044532, 0.3079521],
+            [5.6590417, 0.8802323, 623815.2315242, 0.3269626],
         ],
         # 10 m/s
         [
-            [9.9670412, 0.7500732, 3275671.6727516, 0.2495630],
-            [6.9317633, 0.7950036, 1110959.2451850, 0.2736173],
-            [6.3125748, 0.8210156, 834055.5094286, 0.2884673],
+            [9.9671073, 0.7808960, 3395681.0032992, 0.2653854],
+            [6.8745497, 0.8210765, 1130776.3831297, 0.2885032],
+            [6.2938285, 0.8474867, 869690.8728188, 0.3047352],
         ],
         # 11 m/s
         [
-            [10.9637454, 0.7278454, 4333842.6695283, 0.2387424],
-            [7.6832308, 0.7711112, 1517301.5142304, 0.2607884],
-            [6.9761726, 0.7932167, 1131629.3899797, 0.2726328],
+            [10.9638180, 0.7536370, 4488242.9153943, 0.2513413],
+            [7.6186441, 0.7939637, 1530927.6220300, 0.2730439],
+            [6.9469619, 0.8177833, 1163332.0650645, 0.2865657],
         ],
     ]
 )
@@ -96,27 +96,27 @@
     [
         # 8 m/s
         [
-            [7.9736330, 0.7606986, 1679924.0721706, 0.2549029],
-            [5.5431146, 0.8588028, 548917.6953551, 0.3121189],
-            [5.0453462, 0.8892852, 400916.4566323, 0.3336309],
+            [7.9736858, 0.7841561, 1741508.6722008, 0.2671213],
+            [5.5123171, 0.8885732, 574854.9880625, 0.3330968],
+            [5.0653039, 0.9139850, 425692.0104596, 0.3533584],
         ],
         # 9 m/s
         [
-            [8.9703371, 0.7596552, 2391434.0080674, 0.2543734],
-            [6.2378520, 0.8244598, 803779.2831349, 0.2905124],
-            [5.6785118, 0.8518742, 595885.4921489, 0.3075644],
+            [8.9703965, 0.7828869, 2480428.8963141, 0.2664440],
+            [6.2030677, 0.8516143, 828885.8701797, 0.3073957],
+            [5.6761588, 0.8792592, 629527.0166369, 0.3262611],
         ],
         # 10 m/s
         [
-            [9.9670412, 0.7500732, 3275671.6727516, 0.2495630],
-            [6.9507085, 0.7942413, 1119777.2268361, 0.2731968],
-            [6.3312183, 0.8201563, 841609.4907163, 0.2879601],
+            [9.9671073, 0.7808960, 3395681.0032992, 0.2653854],
+            [6.8953509, 0.8201305, 1140128.3768208, 0.2879449],
+            [6.3135442, 0.8465900, 878554.8061141, 0.3041621],
         ],
         # 11 m/s
         [
-            [10.9637454, 0.7278454, 4333842.6695283, 0.2387424],
-            [7.7025449, 0.7706119, 1528875.6023356, 0.2605276],
-            [6.9954994, 0.7924390, 1140624.9700319, 0.2722057],
+            [10.9638180, 0.7536370, 4488242.9153943, 0.2513413],
+            [7.6397253, 0.7933242, 1543688.6272448, 0.2726920],
+            [6.9675202, 0.8168483, 1172574.8397092, 0.2860189],
         ],
     ]
 )
@@ -125,27 +125,27 @@
     [
         # 8 m/s
         [
-            [7.9736330, 0.7606986, 1679924.0721706, 0.2549029],
-            [5.5274367, 0.8596051, 543479.2092235, 0.3126534],
-            [5.0364358, 0.8898394, 398309.0269631, 0.3340477],
+            [7.9736858, 0.7841561, 1741508.6722008, 0.2671213],
+            [5.4955262, 0.8895278, 569252.0553799, 0.3338132],
+            [5.0564287, 0.9144895, 422730.4667041, 0.3537891],
         ],
         # 9 m/s
         [
-            [8.9703371, 0.7596552, 2391434.0080674, 0.2543734],
-            [6.2202717, 0.8252701, 796656.0654567, 0.2909965],
-            [5.6680298, 0.8524106, 592249.4291781, 0.3079132],
+            [8.9703965, 0.7828869, 2480428.8963141, 0.2664440],
+            [6.1842436, 0.8524704, 820422.7619472, 0.3079521],
+            [5.6652985, 0.8798766, 625903.0435126, 0.3267059],
         ],
         # 10 m/s
         [
-            [9.9670412, 0.7500732, 3275671.6727516, 0.2495630],
-            [6.9317639, 0.7950036, 1110959.5162103, 0.2736173],
-            [6.3196140, 0.8206912, 836907.6633514, 0.2882756],
+            [9.9671073, 0.7808960, 3395681.0032992, 0.2653854],
+            [6.8745503, 0.8210764, 1130776.6678583, 0.2885032],
+            [6.3010138, 0.8471599, 872921.3000764, 0.3045262],
         ],
         # 11 m/s
         [
-            [10.9637454, 0.7278454, 4333842.6695283, 0.2387424],
-            [7.6832314, 0.7711112, 1517301.8723625, 0.2607884],
-            [6.9837299, 0.7929126, 1135146.9152189, 0.2724657],
+            [10.9638180, 0.7536370, 4488242.9153943, 0.2513413],
+            [7.6186447, 0.7939637, 1530928.0140962, 0.2730439],
+            [6.9547367, 0.8174297, 1166827.5280695, 0.2863588],
         ],
     ]
 )
@@ -221,6 +221,7 @@ def test_regression_tandem(sample_inputs_fixture):
             farm_cts,
             farm_powers,
             farm_axial_inductions,
+            max_findex_print=4
         )
 
     assert_results_arrays(test_results[0:4], baseline)
@@ -374,6 +375,7 @@ def test_regression_yaw(sample_inputs_fixture):
             farm_cts,
             farm_powers,
             farm_axial_inductions,
+            max_findex_print=4
         )
 
     assert_results_arrays(test_results[0:4], yawed_baseline)
@@ -455,6 +457,7 @@ def test_regression_yaw_added_recovery(sample_inputs_fixture):
             farm_cts,
             farm_powers,
             farm_axial_inductions,
+            max_findex_print=4
         )
 
     assert_results_arrays(test_results[0:4], yaw_added_recovery_baseline)
@@ -535,6 +538,7 @@ def test_regression_secondary_steering(sample_inputs_fixture):
             farm_cts,
             farm_powers,
             farm_axial_inductions,
+            max_findex_print=4
         )
 
     assert_results_arrays(test_results[0:4], secondary_steering_baseline)
diff --git a/tests/reg_tests/empirical_gauss_regression_test.py b/tests/reg_tests/empirical_gauss_regression_test.py
index 6d798afa2..d91dc956d 100644
--- a/tests/reg_tests/empirical_gauss_regression_test.py
+++ b/tests/reg_tests/empirical_gauss_regression_test.py
@@ -40,27 +40,27 @@
     [
         # 8 m/s
         [
-            [7.9736330, 0.7636044, 1691326.6483808, 0.2568973],
-            [5.8890878, 0.8410986, 668931.9953790, 0.3006878],
-            [5.9448342, 0.8382459, 688269.8273350, 0.2989067],
+            [7.9736858, 0.7871515, 1753954.4591792, 0.2693224],
+            [5.8181628, 0.8711866, 676912.0380737, 0.3205471],
+            [5.8941747, 0.8668654, 702276.3178047, 0.3175620],
         ],
         # 9m/s
         [
-            [8.9703371, 0.7625570, 2407841.6718785, 0.2563594],
-            [6.6288143, 0.8071935, 969952.7378773, 0.2804513],
-            [6.7440713, 0.8025559, 1023598.6805729, 0.2778266],
+            [8.9703965, 0.7858774, 2496427.8618358, 0.2686331],
+            [6.5498312, 0.8358441, 984786.7218587, 0.2974192],
+            [6.6883370, 0.8295451, 1047057.3206209, 0.2935691],
         ],
         # 10 m/s
         [
-            [9.9670412, 0.7529384, 3298067.1555604, 0.2514735],
-            [7.4019251, 0.7790665, 1355562.9527211, 0.2649822],
-            [7.5493339, 0.7745724, 1437063.0620195, 0.2626039],
+            [9.9671073, 0.7838789, 3417797.0050916, 0.2675559],
+            [7.2852518, 0.8049506, 1339238.8882972, 0.2791780],
+            [7.4865891, 0.7981254, 1452997.4778680, 0.2753477],
         ],
         # 11 m/s
         [
-            [10.9637454, 0.7306256, 4363191.9880631, 0.2404936],
-            [8.2349756, 0.7622827, 1867008.5657835, 0.2562187],
-            [8.3523516, 0.7619629, 1946873.1634864, 0.2560548],
+            [10.9638180, 0.7565157, 4519404.3072862, 0.2532794],
+            [8.1286243, 0.7869622, 1867298.1260108, 0.2692199],
+            [8.2872457, 0.7867578, 1985849.6635654, 0.2691092],
         ],
     ]
 )
@@ -69,27 +69,27 @@
     [
         # 8 m/s
         [
-            [7.9736330, 0.7606986, 1679924.0721706, 0.2549029],
-            [5.9257102, 0.8392246, 681635.9273649, 0.2995159],
-            [5.9615388, 0.8373911, 694064.4542077, 0.2983761],
+            [7.9736858, 0.7841561, 1741508.6722008, 0.2671213],
+            [5.8572213, 0.8689662, 689945.4020673, 0.3190070],
+            [5.9122259, 0.8658393, 708299.7846078, 0.3168602],
         ],
         # 9 m/s
         [
-            [8.9703371, 0.7596552, 2391434.0080674, 0.2543734],
-            [6.6698959, 0.8055405, 989074.0018995, 0.2795122],
-            [6.7631531, 0.8017881, 1032480.2286024, 0.2773950],
+            [8.9703965, 0.7828869, 2480428.8963141, 0.2664440],
+            [6.5936194, 0.8338527, 1004473.3935880, 0.2961941],
+            [6.7089679, 0.8286068, 1056332.7378826, 0.2930017],
         ],
         # 10 m/s
         [
-            [9.9670412, 0.7500732, 3275671.6727516, 0.2495630],
-            [7.4463751, 0.7776077, 1379101.8806016, 0.2642075],
-            [7.5701211, 0.7740351, 1449519.8581580, 0.2623212],
+            [9.9671073, 0.7808960, 3395681.0032992, 0.2653854],
+            [7.3336404, 0.8032764, 1366138.4198352, 0.2782323],
+            [7.5095680, 0.7973796, 1466340.6394405, 0.2749331],
         ],
         # 11 m/s
         [
-            [10.9637454, 0.7278454, 4333842.6695283, 0.2387424],
-            [8.2809317, 0.7621575, 1898277.8462234, 0.2561545],
-            [8.3710828, 0.7619119, 1959618.1795131, 0.2560286],
+            [10.9638180, 0.7536370, 4488242.9153943, 0.2513413],
+            [8.1779964, 0.7868986, 1904198.1536702, 0.2691855],
+            [8.3074034, 0.7867318, 2000915.2988301, 0.2690952],
         ],
     ]
 )
@@ -98,27 +98,27 @@
     [
         # 8 m/s
         [
-            [7.9736330, 0.7606986, 1679924.0721706, 0.2549029],
-            [5.9343009, 0.8387850, 684615.9328740, 0.2992420],
-            [5.9680241, 0.8370593, 696314.1525222, 0.2981704],
+            [7.9736858, 0.7841561, 1741508.6722008, 0.2671213],
+            [5.8665710, 0.8684347, 693065.2795916, 0.3186403],
+            [5.9193499, 0.8654343, 710676.9807602, 0.3165840],
         ],
         # 9 m/s
         [
-            [8.9703371, 0.7596552, 2391434.0080674, 0.2543734],
-            [6.6795240, 0.8051531, 993555.3595338, 0.2792927],
-            [6.7704684, 0.8014937, 1035885.1172753, 0.2772298],
+            [8.9703965, 0.7828869, 2480428.8963141, 0.2664440],
+            [6.6040901, 0.8333765, 1009180.8710828, 0.2959023],
+            [6.7169991, 0.8282416, 1059943.4814040, 0.2927813],
         ],
         # 10 m/s
         [
-            [9.9670412, 0.7500732, 3275671.6727516, 0.2495630],
-            [7.4567077, 0.7772686, 1384573.5845651, 0.2640278],
-            [7.5779862, 0.7738318, 1454233.0717541, 0.2622143],
+            [9.9671073, 0.7808960, 3395681.0032992, 0.2653854],
+            [7.3451916, 0.8028791, 1372599.7339512, 0.2780085],
+            [7.5184292, 0.7971003, 1471563.4898254, 0.2747780],
         ],
         # 11 m/s
         [
-            [10.9637454, 0.7278454, 4333842.6695283, 0.2387424],
-            [8.2914104, 0.7621290, 1905407.7287412, 0.2561399],
-            [8.3784336, 0.7618919, 1964619.7950752, 0.2560184],
+            [10.9638180, 0.7536370, 4488242.9153943, 0.2513413],
+            [8.1895130, 0.7868837, 1912805.5199083, 0.2691774],
+            [8.3154794, 0.7867214, 2006951.2349727, 0.2690895],
         ],
     ]
 )
diff --git a/tests/reg_tests/floris_interface_regression_test.py b/tests/reg_tests/floris_interface_regression_test.py
index 8cda5f9e3..7c9a0d2ff 100644
--- a/tests/reg_tests/floris_interface_regression_test.py
+++ b/tests/reg_tests/floris_interface_regression_test.py
@@ -38,27 +38,27 @@
     [
         # 8 m/s
         [
-            [7.9736330, 0.7636044, 1691326.6483808, 0.2568973],
-            [7.9736330, 0.7636044, 1691326.6483808, 0.2568973],
-            [7.9736330, 0.7636044, 1691326.6483808, 0.2568973],
+            [7.9736858, 0.7871515, 1753954.4591792, 0.2693224],
+            [7.9736858, 0.7871515, 1753954.4591792, 0.2693224],
+            [7.9736858, 0.7871515, 1753954.4591792, 0.2693224],
         ],
         # 9 m/s
         [
-            [8.9703371, 0.7625570, 2407841.6718785, 0.2563594],
-            [8.9703371, 0.7625570, 2407841.6718785, 0.2563594],
-            [8.9703371, 0.7625570, 2407841.6718785, 0.2563594],
+            [8.9703965, 0.7858774, 2496427.8618358, 0.2686331],
+            [8.9703965, 0.7858774, 2496427.8618358, 0.2686331],
+            [8.9703965, 0.7858774, 2496427.8618358, 0.2686331],
         ],
         # 10 m/s
         [
-            [9.9670412, 0.7529384, 3298067.1555604, 0.2514735],
-            [9.9670412, 0.7529384, 3298067.1555604, 0.2514735],
-            [9.9670412, 0.7529384, 3298067.1555604, 0.2514735],
+            [9.9671073, 0.7838789, 3417797.0050916, 0.2675559],
+            [9.9671073, 0.7838789, 3417797.0050916, 0.2675559],
+            [9.9671073, 0.7838789, 3417797.0050916, 0.2675559],
         ],
         # 11 m/s
         [
-            [10.9637454, 0.7306256, 4363191.9880631, 0.2404936],
-            [10.9637454, 0.7306256, 4363191.9880631, 0.2404936],
-            [10.9637454, 0.7306256, 4363191.9880631, 0.2404936],
+            [10.9638180, 0.7565157, 4519404.3072862, 0.2532794],
+            [10.9638180, 0.7565157, 4519404.3072862, 0.2532794],
+            [10.9638180, 0.7565157, 4519404.3072862, 0.2532794],
         ],
     ]
 )
@@ -134,6 +134,7 @@ def test_calculate_no_wake(sample_inputs_fixture):
             farm_cts,
             farm_powers,
             farm_axial_inductions,
+            max_findex_print=4,
         )
 
     assert_results_arrays(test_results[0:4], baseline)
diff --git a/tests/reg_tests/gauss_regression_test.py b/tests/reg_tests/gauss_regression_test.py
index 679023d54..3a3fa4777 100644
--- a/tests/reg_tests/gauss_regression_test.py
+++ b/tests/reg_tests/gauss_regression_test.py
@@ -38,27 +38,27 @@
     [
         # 8 m/s
         [
-            [7.9736330, 0.7636044, 1691326.6483808, 0.2568973],
-            [5.9535039, 0.8378023, 691277.2666766, 0.2986311],
-            [6.0197522, 0.8345126, 715409.4436445, 0.2965993],
+            [7.9736858, 0.7871515, 1753954.4591792, 0.2693224],
+            [5.9186455, 0.8654743, 710441.9192938, 0.3166113],
+            [6.0090150, 0.8604395, 741642.0177873, 0.3132110],
         ],
         # 9 m/s
         [
-            [8.9703371, 0.7625570, 2407841.6718785, 0.2563594],
-            [6.6995977, 0.8043454, 1002898.6210841, 0.2788357],
-            [6.8102318, 0.7998937, 1054392.8363310, 0.2763338],
+            [8.9703965, 0.7858774, 2496427.8618358, 0.2686331],
+            [6.6606465, 0.8308044, 1034608.0101396, 0.2943330],
+            [6.7947466, 0.8247058, 1094897.8563374, 0.2906592],
         ],
         # 10 m/s
         [
-            [9.9670412, 0.7529384, 3298067.1555604, 0.2514735],
-            [7.4637061, 0.7770389, 1388279.6564701, 0.2639062],
-            [7.5999706, 0.7732635, 1467407.3821931, 0.2619157],
+            [9.9671073, 0.7838789, 3417797.0050916, 0.2675559],
+            [7.4045198, 0.8008441, 1405853.7207176, 0.2768656],
+            [7.5868432, 0.7949439, 1511887.2179035, 0.2735844],
         ],
         # 11 m/s
         [
-            [10.9637454, 0.7306256, 4363191.9880631, 0.2404936],
-            [8.2622911, 0.7622083, 1885594.4958198, 0.2561805],
-            [8.3719551, 0.7619095, 1960211.6949745, 0.2560274],
+            [10.9638180, 0.7565157, 4519404.3072862, 0.2532794],
+            [8.2046271, 0.7868643, 1924101.6501936, 0.2691669],
+            [8.3491997, 0.7866780, 2032153.3223547, 0.2690660],
         ],
     ]
 )
@@ -67,27 +67,27 @@
     [
         # 8 m/s
         [
-            [7.9736330, 0.7606986, 1679924.0721706, 0.2549029],
-            [5.9856445, 0.8361576, 702426.4817361, 0.2976127],
-            [6.0238963, 0.8343216, 717088.5782753, 0.2964819],
+            [7.9736858, 0.7841561, 1741508.6722008, 0.2671213],
+            [5.9521551, 0.8635694, 721623.6989382, 0.3153174],
+            [6.0131307, 0.8602523, 743492.3616581, 0.3130858],
         ],
         # 9 m/s
         [
-            [8.9703371, 0.7596552, 2391434.0080674, 0.2543734],
-            [6.7356851, 0.8028933, 1019695.3621240, 0.2780165],
-            [6.8150684, 0.7996991, 1056644.0444495, 0.2762251],
+            [8.9703965, 0.7828869, 2480428.8963141, 0.2664440],
+            [6.6982609, 0.8290938, 1051519.0079315, 0.2932960],
+            [6.7996516, 0.8244827, 1097103.0727816, 0.2905261],
         ],
         # 10 m/s
         [
-            [9.9670412, 0.7500732, 3275671.6727516, 0.2495630],
-            [7.5030787, 0.7757681, 1409344.3206494, 0.2632343],
-            [7.6053686, 0.7731239, 1470642.1508821, 0.2618425],
+            [9.9671073, 0.7808960, 3395681.0032992, 0.2653854],
+            [7.4461669, 0.7994645, 1429777.3846192, 0.2760940],
+            [7.5922658, 0.7947730, 1515083.3259879, 0.2734901],
         ],
         # 11 m/s
         [
-            [10.9637454, 0.7278454, 4333842.6695283, 0.2387424],
-            [8.3037405, 0.7620954, 1913797.3425937, 0.2561227],
-            [8.3759415, 0.7618987, 1962924.0966747, 0.2560219],
+            [10.9638180, 0.7536370, 4488242.9153943, 0.2513413],
+            [8.2481957, 0.7868081, 1956664.2629680, 0.2691365],
+            [8.3531097, 0.7866729, 2035075.5955678, 0.2690633],
         ],
     ]
 )
@@ -158,27 +158,27 @@
     [
         # 8 m/s
         [
-            [7.9736330, 0.7606986, 1679924.0721706, 0.2549029],
-            [6.0012497, 0.8353654, 707912.6031236, 0.2971241],
-            [6.0458168, 0.8333112, 725970.3069204, 0.2958623],
+            [7.9736858, 0.7841561, 1741508.6722008, 0.2671213],
+            [5.9689340, 0.8626155, 727222.6050018, 0.3146730],
+            [6.0360908, 0.8592082, 753814.9629960, 0.3123888],
         ],
         # 9 m/s
         [
-            [8.9703371, 0.7596552, 2391434.0080674, 0.2543734],
-            [6.7531826, 0.8021893, 1027839.4859975, 0.2776204],
-            [6.8391301, 0.7987309, 1067843.4584263, 0.2756849],
+            [8.9703965, 0.7828869, 2480428.8963141, 0.2664440],
+            [6.7170645, 0.8282386, 1059972.8615898, 0.2927795],
+            [6.8249569, 0.8233319, 1108480.0451319, 0.2898405],
         ],
         # 10 m/s
         [
-            [9.9670412, 0.7500732, 3275671.6727516, 0.2495630],
-            [7.5219279, 0.7752809, 1420639.8615893, 0.2629772],
-            [7.6309661, 0.7724622, 1485981.5768983, 0.2614954],
+            [9.9671073, 0.7808960, 3395681.0032992, 0.2653854],
+            [7.4669332, 0.7987766, 1441706.3550352, 0.2757103],
+            [7.6196359, 0.7939336, 1531527.9847411, 0.2730273],
         ],
         # 11 m/s
         [
-            [10.9637454, 0.7278454, 4333842.6695283, 0.2387424],
-            [8.3229930, 0.7620429, 1926897.0262401, 0.2560958],
-            [8.4021717, 0.7618272, 1980771.5704442, 0.2559853],
+            [10.9638180, 0.7536370, 4488242.9153943, 0.2513413],
+            [8.2691610, 0.7867811, 1972333.4291742, 0.2691218],
+            [8.3808845, 0.7866371, 2055834.1618762, 0.2690439],
         ],
     ]
 )
@@ -187,27 +187,27 @@
     [
         # 8 m/s
         [
-            [7.9736330, 0.7606986, 1679924.0721706, 0.2549029],
-            [6.0012490, 0.8353654, 707912.3201655, 0.2971241],
-            [6.0404040, 0.8335607, 723777.1688957, 0.2960151],
+            [7.9736858, 0.7841561, 1741508.6722008, 0.2671213],
+            [5.9689332, 0.8626156, 727222.3540334, 0.3146730],
+            [6.0305406, 0.8594606, 751319.6495844, 0.3125571],
         ],
         # 9 m/s
         [
-            [8.9703371, 0.7596552, 2391434.0080674, 0.2543734],
-            [6.7531818, 0.8021893, 1027839.1215598, 0.2776204],
-            [6.8331381, 0.7989720, 1065054.4872236, 0.2758193],
+            [8.9703965, 0.7828869, 2480428.8963141, 0.2664440],
+            [6.7170636, 0.8282387, 1059972.4826657, 0.2927795],
+            [6.8187909, 0.8236123, 1105707.8700965, 0.2900073],
         ],
         # 10 m/s
         [
-            [9.9670412, 0.7500732, 3275671.6727516, 0.2495630],
-            [7.5219271, 0.7752809, 1420639.3564230, 0.2629773],
-            [7.6244680, 0.7726302, 1482087.5389477, 0.2615835],
+            [9.9671073, 0.7808960, 3395681.0032992, 0.2653854],
+            [7.4669323, 0.7987766, 1441705.8203841, 0.2757103],
+            [7.6128912, 0.7941382, 1527445.2805280, 0.2731400],
         ],
         # 11 m/s
         [
-            [10.9637454, 0.7278454, 4333842.6695283, 0.2387424],
-            [8.3229921, 0.7620429, 1926896.4413586, 0.2560958],
-            [8.3952439, 0.7618461, 1976057.7564083, 0.2559949],
+            [10.9638180, 0.7536370, 4488242.9153943, 0.2513413],
+            [8.2691601, 0.7867811, 1972332.7278100, 0.2691218],
+            [8.3736743, 0.7866464, 2050445.3384596, 0.2690489],
         ],
     ]
 )
@@ -216,27 +216,27 @@
     [
         # 8 m/s
         [
-            [7.9736330, 0.7606986, 1679924.0721706, 0.2549029],
-            [5.9856452, 0.8361576, 702426.7279908, 0.2976127],
-            [6.0294010, 0.8340678, 719318.9574833, 0.2963261],
+            [7.9736858, 0.7841561, 1741508.6722008, 0.2671213],
+            [5.9521559, 0.8635693, 721623.9542957, 0.3153174],
+            [6.0187788, 0.8599955, 746031.6889128, 0.3129141],
         ],
         # 9 m/s
         [
-            [8.9703371, 0.7596552, 2391434.0080674, 0.2543734],
-            [6.7356859, 0.8028933, 1019695.7325708, 0.2780165],
-            [6.8211610, 0.7994540, 1059479.8255425, 0.2760882],
+            [8.9703965, 0.7828869, 2480428.8963141, 0.2664440],
+            [6.6982618, 0.8290937, 1051519.3934629, 0.2932959],
+            [6.8059255, 0.8241974, 1099923.7444659, 0.2903559],
         ],
         # 10 m/s
         [
-            [9.9670412, 0.7500732, 3275671.6727516, 0.2495630],
-            [7.5030795, 0.7757681, 1409344.8339510, 0.2632343],
-            [7.6119726, 0.7729532, 1474599.5989813, 0.2617529],
+            [9.9671073, 0.7808960, 3395681.0032992, 0.2653854],
+            [7.4461678, 0.7994645, 1429777.9285494, 0.2760940],
+            [7.5991268, 0.7945568, 1519127.2504621, 0.2733708],
         ],
         # 11 m/s
         [
-            [10.9637454, 0.7278454, 4333842.6695283, 0.2387424],
-            [8.3037414, 0.7620954, 1913797.9363787, 0.2561227],
-            [8.3829757, 0.7618795, 1967710.2678086, 0.2560120],
+            [10.9638180, 0.7536370, 4488242.9153943, 0.2513413],
+            [8.2481967, 0.7868081, 1956664.9757307, 0.2691365],
+            [8.3604363, 0.7866635, 2040551.4040835, 0.2690582],
         ],
     ]
 )
@@ -312,6 +312,7 @@ def test_regression_tandem(sample_inputs_fixture):
             farm_cts,
             farm_powers,
             farm_axial_inductions,
+            max_findex_print=4,
         )
 
     assert_results_arrays(test_results[0:4], baseline)
@@ -465,6 +466,7 @@ def test_regression_yaw(sample_inputs_fixture):
             farm_cts,
             farm_powers,
             farm_axial_inductions,
+            max_findex_print=4,
         )
 
     assert_results_arrays(test_results[0:4], yawed_baseline)
@@ -617,6 +619,7 @@ def test_regression_gch(sample_inputs_fixture):
             farm_cts,
             farm_powers,
             farm_axial_inductions,
+            max_findex_print=4,
         )
 
     assert_results_arrays(test_results[0:4], gch_baseline)
@@ -698,6 +701,7 @@ def test_regression_yaw_added_recovery(sample_inputs_fixture):
             farm_cts,
             farm_powers,
             farm_axial_inductions,
+            max_findex_print=4,
         )
 
     assert_results_arrays(test_results[0:4], yaw_added_recovery_baseline)
@@ -778,6 +782,7 @@ def test_regression_secondary_steering(sample_inputs_fixture):
             farm_cts,
             farm_powers,
             farm_axial_inductions,
+            max_findex_print=4,
         )
 
     assert_results_arrays(test_results[0:4], secondary_steering_baseline)
diff --git a/tests/reg_tests/jensen_jimenez_regression_test.py b/tests/reg_tests/jensen_jimenez_regression_test.py
index 1122b42f2..f54ddda6a 100644
--- a/tests/reg_tests/jensen_jimenez_regression_test.py
+++ b/tests/reg_tests/jensen_jimenez_regression_test.py
@@ -39,27 +39,27 @@
     [
         # 8 m/s
         [
-            [7.9736330, 0.7636044, 1691326.6483808, 0.2568973],
-            [6.1528670, 0.8283770, 769344.9989547, 0.2928630],
-            [5.6590323, 0.8528710, 589128.2717851, 0.3082130],
+            [7.9736858, 0.7871515, 1753954.4591792, 0.2693224],
+            [6.0660565, 0.8578454, 767287.2198744, 0.3114830],
+            [5.5204712, 0.8881097, 577575.9208353, 0.3327500],
         ],
         # 9 m/s
         [
-            [8.9703371, 0.7625570, 2407841.6718785, 0.2563594],
-            [6.9262647, 0.7952248, 1108399.9545223, 0.2737395],
-            [6.5033542, 0.8122418, 911557.7945732, 0.2833446],
+            [8.9703965, 0.7858774, 2496427.8618358, 0.2686331],
+            [6.8298067, 0.8231113, 1110660.4518964, 0.2897093],
+            [6.3668912, 0.8441639, 902538.9934586, 0.3026196],
         ],
         # 10 m/s
         [
-            [9.9670412, 0.7529384, 3298067.1555604, 0.2514735],
-            [7.7391355, 0.7696661, 1550802.6855981, 0.2600344],
-            [7.3444882, 0.7809516, 1325146.7113373, 0.2659870],
+            [9.9671073, 0.7838789, 3417797.0050916, 0.2675559],
+            [7.5982117, 0.7945856, 1518587.8467982, 0.2733867],
+            [7.2042504, 0.8077903, 1294847.7809883, 0.2807914],
         ],
         # 11 m/s
         [
-            [10.9637454, 0.7306256, 4363191.9880631, 0.2404936],
-            [8.6200527, 0.7618150, 2139354.1087623, 0.2559790],
-            [8.1422116, 0.7625354, 1803890.3447532, 0.2563483],
+            [10.9638180, 0.7565157, 4519404.3072862, 0.2532794],
+            [8.4970746, 0.7864874, 2142673.1558338, 0.2689629],
+            [7.9997342, 0.7871282, 1770992.0756703, 0.2693098],
         ],
     ]
 )
@@ -68,27 +68,27 @@
     [
         # 8 m/s
         [
-            [7.9736330, 0.7606986, 1679924.0721706, 0.2549029],
-            [6.1670027, 0.8277254, 775072.5021192, 0.2924701],
-            [5.6650398, 0.8525636, 591212.2253601, 0.3080128],
+            [7.9736858, 0.7841561, 1741508.6722008, 0.2671213],
+            [6.0816475, 0.8571363, 774296.7271893, 0.3110134],
+            [5.5272875, 0.8877222, 579850.4298177, 0.3324606],
         ],
         # 9 m/s
         [
-            [8.9703371, 0.7596552, 2391434.0080674, 0.2543734],
-            [6.9420997, 0.7945877, 1115770.2903095, 0.2733878],
-            [6.5099782, 0.8119752, 914640.8879238, 0.2831909],
+            [8.9703965, 0.7828869, 2480428.8963141, 0.2664440],
+            [6.8472506, 0.8223180, 1118503.0309148, 0.2892383],
+            [6.3747452, 0.8438067, 906070.0511419, 0.3023935],
         ],
         # 10 m/s
         [
-            [9.9670412, 0.7500732, 3275671.6727516, 0.2495630],
-            [7.7560617, 0.7692286, 1560945.8383104, 0.2598066],
-            [7.3508004, 0.7807445, 1328489.3723384, 0.2658764],
+            [9.9671073, 0.7808960, 3395681.0032992, 0.2653854],
+            [7.6174285, 0.7940006, 1530191.8035935, 0.2730642],
+            [7.2119500, 0.8075204, 1299067.3876318, 0.2806375],
         ],
         # 11 m/s
         [
-            [10.9637454, 0.7278454, 4333842.6695283, 0.2387424],
-            [8.6371187, 0.7618512, 2152434.8973815, 0.2559975],
-            [8.1465243, 0.7625236, 1806824.8092631, 0.2563423],
+            [10.9638180, 0.7536370, 4488242.9153943, 0.2513413],
+            [8.5159500, 0.7864631, 2156780.3499849, 0.2689497],
+            [8.0047998, 0.7871218, 1774753.2988553, 0.2693064],
         ],
     ]
 )
@@ -163,6 +163,7 @@ def test_regression_tandem(sample_inputs_fixture):
             farm_cts,
             farm_powers,
             farm_axial_inductions,
+            max_findex_print=4
         )
 
     assert_results_arrays(test_results[0:4], baseline)
@@ -316,6 +317,7 @@ def test_regression_yaw(sample_inputs_fixture):
             farm_cts,
             farm_powers,
             farm_axial_inductions,
+            max_findex_print=4
         )
 
     assert_results_arrays(test_results[0:4], yawed_baseline)
diff --git a/tests/reg_tests/none_regression_test.py b/tests/reg_tests/none_regression_test.py
index 6b4c23235..5fd2c99ac 100644
--- a/tests/reg_tests/none_regression_test.py
+++ b/tests/reg_tests/none_regression_test.py
@@ -40,27 +40,27 @@
     [
         # 8 m/s
         [
-            [7.9736330, 0.7636044, 1691326.6483808, 0.2568973],
-            [7.9736330, 0.7636044, 1691326.6483808, 0.2568973],
-            [7.9736330, 0.7636044, 1691326.6483808, 0.2568973],
+            [7.9736858, 0.7871515, 1753954.4591792, 0.2693224],
+            [7.9736858, 0.7871515, 1753954.4591792, 0.2693224],
+            [7.9736858, 0.7871515, 1753954.4591792, 0.2693224],
         ],
         # 9 m/s
         [
-            [8.9703371, 0.7625570, 2407841.6718785, 0.2563594],
-            [8.9703371, 0.7625570, 2407841.6718785, 0.2563594],
-            [8.9703371, 0.7625570, 2407841.6718785, 0.2563594],
+            [8.9703965, 0.7858774, 2496427.8618358, 0.2686331],
+            [8.9703965, 0.7858774, 2496427.8618358, 0.2686331],
+            [8.9703965, 0.7858774, 2496427.8618358, 0.2686331],
         ],
         # 10 m/s
         [
-            [9.9670412, 0.7529384, 3298067.1555604, 0.2514735],
-            [9.9670412, 0.7529384, 3298067.1555604, 0.2514735],
-            [9.9670412, 0.7529384, 3298067.1555604, 0.2514735],
+            [9.9671073, 0.7838789, 3417797.0050916, 0.2675559],
+            [9.9671073, 0.7838789, 3417797.0050916, 0.2675559],
+            [9.9671073, 0.7838789, 3417797.0050916, 0.2675559],
         ],
         # 11 m/s
         [
-            [10.9637454, 0.7306256, 4363191.9880631, 0.2404936],
-            [10.9637454, 0.7306256, 4363191.9880631, 0.2404936],
-            [10.9637454, 0.7306256, 4363191.9880631, 0.2404936],
+            [10.9638180, 0.7565157, 4519404.3072862, 0.2532794],
+            [10.9638180, 0.7565157, 4519404.3072862, 0.2532794],
+            [10.9638180, 0.7565157, 4519404.3072862, 0.2532794],
         ],
     ]
 )
@@ -164,6 +164,7 @@ def test_regression_tandem(sample_inputs_fixture):
             farm_cts,
             farm_powers,
             farm_axial_inductions,
+            max_findex_print=4,
         )
 
     assert_results_arrays(test_results[0:4], baseline)
diff --git a/tests/reg_tests/turbopark_regression_test.py b/tests/reg_tests/turbopark_regression_test.py
index 144bdd6f2..39dffcd78 100644
--- a/tests/reg_tests/turbopark_regression_test.py
+++ b/tests/reg_tests/turbopark_regression_test.py
@@ -39,27 +39,27 @@
     [
         # 8 m/s
         [
-            [7.9736330, 0.7636044, 1691326.6483808, 0.2568973],
-            [6.0583922, 0.8327316, 731065.6226282, 0.2955077],
-            [5.4067009, 0.8668116, 506659.6232808, 0.3175251],
+            [7.9736858, 0.7871515, 1753954.4591792, 0.2693224],
+            [6.0332948, 0.8593353, 752557.9240063, 0.3124735],
+            [5.4029800, 0.8947888, 538370.5108659, 0.3378186],
         ],
         # 9 m/s
         [
-            [8.9703371, 0.7625570, 2407841.6718785, 0.2563594],
-            [6.8171892, 0.7996138, 1057631.1392858, 0.2761774],
-            [6.0917181, 0.8311955, 744568.6379292, 0.2945709],
+            [8.9703965, 0.7858774, 2496427.8618358, 0.2686331],
+            [6.7887441, 0.8249788, 1092199.1775234, 0.2908223],
+            [6.0678594, 0.8577634, 768097.7785191, 0.3114286],
         ],
         # 10 m/s
         [
-            [9.9670412, 0.7529384, 3298067.1555604, 0.2514735],
-            [7.5908545, 0.7734991, 1461944.4626519, 0.2620395],
-            [6.7995666, 0.8003229, 1049428.7626183, 0.2765738],
+            [9.9671073, 0.7838789, 3417797.0050916, 0.2675559],
+            [7.5453629, 0.7962514, 1487438.4031455, 0.2743074],
+            [6.7548552, 0.8265200, 1076963.1412833, 0.2917453],
         ],
         # 11 m/s
         [
-            [10.9637454, 0.7306256, 4363191.9880631, 0.2404936],
-            [8.3975139, 0.7618399, 1977602.3128807, 0.2559918],
-            [7.5196816, 0.7753389, 1419293.7479312, 0.2630079],
+            [10.9638180, 0.7565157, 4519404.3072862, 0.2532794],
+            [8.3436376, 0.7866851, 2027996.3027579, 0.2690699],
+            [7.4626804, 0.7989174, 1439263.3915910, 0.2757889],
         ],
     ]
 )
@@ -69,27 +69,27 @@
     [
         # 8 m/s
         [
-            [7.9736330, 0.7606986, 1679924.0721706, 0.2549029],
-            [6.0772917, 0.8318604, 738723.3410291, 0.2949759],
-            [5.4215054, 0.8658908, 510991.8557577, 0.3168954],
+            [7.9736858, 0.7841561, 1741508.6722008, 0.2671213],
+            [6.0523119, 0.8584704, 761107.7639542, 0.3118979],
+            [5.4177841, 0.8939472, 543310.4550423, 0.3371713],
         ],
         # 9 m/s
         [
-            [8.9703371, 0.7596552, 2391434.0080674, 0.2543734],
-            [6.8384389, 0.7987587, 1067521.7514783, 0.2757004],
-            [6.1089600, 0.8304008, 751554.7217137, 0.2940879],
+            [8.9703965, 0.7828869, 2480428.8963141, 0.2664440],
+            [6.8101438, 0.8240055, 1101820.2623232, 0.2902415],
+            [6.0851644, 0.8569764, 775877.8906008, 0.3109077],
         ],
         # 10 m/s
         [
-            [9.9670412, 0.7500732, 3275671.6727516, 0.2495630],
-            [7.6142906, 0.7728933, 1475988.7044752, 0.2617214],
-            [6.8186733, 0.7995541, 1058321.9413265, 0.2761440],
+            [9.9671073, 0.7808960, 3395681.0032992, 0.2653854],
+            [7.5691494, 0.7955016, 1501458.3309846, 0.2738925],
+            [6.7745474, 0.8256244, 1085816.5021615, 0.2912085],
         ],
         # 11 m/s
         [
-            [10.9637454, 0.7278454, 4333842.6695283, 0.2387424],
-            [8.4226213, 0.7617715, 1994685.7970084, 0.2559567],
-            [7.5392355, 0.7748335, 1431011.5054545, 0.2627414],
+            [10.9638180, 0.7536370, 4488242.9153943, 0.2513413],
+            [8.3695194, 0.7866518, 2047340.0279521, 0.2690518],
+            [7.4830530, 0.7982426, 1450966.1620998, 0.2754129],
         ],
     ]
 )
@@ -165,6 +165,7 @@ def test_regression_tandem(sample_inputs_fixture):
             farm_cts,
             farm_powers,
             farm_axial_inductions,
+            max_findex_print=4,
         )
 
     assert_results_arrays(test_results[0:4], baseline)
@@ -319,6 +320,7 @@ def test_regression_yaw(sample_inputs_fixture):
             farm_cts,
             farm_powers,
             farm_axial_inductions,
+            max_findex_print=4,
         )
 
     assert_results_arrays(test_results[0:4], yawed_baseline)
diff --git a/tests/turbine_multi_dim_unit_test.py b/tests/turbine_multi_dim_unit_test.py
index 7cd7e176a..2d8635539 100644
--- a/tests/turbine_multi_dim_unit_test.py
+++ b/tests/turbine_multi_dim_unit_test.py
@@ -172,7 +172,7 @@ def test_power():
         multidim_condition=condition
     )
 
-    power_truth = 3215682.686486
+    power_truth = 3029825.10569982
 
     np.testing.assert_allclose(p, power_truth)
 
diff --git a/tests/turbine_unit_test.py b/tests/turbine_unit_test.py
index b23e10050..8941d3163 100644
--- a/tests/turbine_unit_test.py
+++ b/tests/turbine_unit_test.py
@@ -355,7 +355,7 @@ def test_axial_induction():
     turbine_type_map = np.array(N_TURBINES * [turbine.turbine_type])
     turbine_type_map = turbine_type_map[None, :]
 
-    baseline_ai = 0.25116283939089806
+    baseline_ai = 0.26752001107622186415
 
     # Single turbine
     wind_speed = 10.0
diff --git a/tests/turbine_utilities_unit_test.py b/tests/turbine_utilities_unit_test.py
index e48b31f45..c5f73ef64 100644
--- a/tests/turbine_utilities_unit_test.py
+++ b/tests/turbine_utilities_unit_test.py
@@ -19,75 +19,80 @@
 import yaml
 
 from floris.turbine_library import build_cosine_loss_turbine_dict, check_smooth_power_curve
+from tests.conftest import SampleInputs
 
 
 def test_build_turbine_dict():
 
-    v3_file_path = Path(__file__).resolve().parent / "data" / "nrel_5MW_v3legacy.yaml"
-    v4_file_path = Path(__file__).resolve().parent / "data" / "nrel_5MW.yaml"
-    test_turb_name = "test_turbine_export"
-
-    in_dict_v3 = yaml.safe_load( open(v3_file_path, "r") )
+    turbine_data_v3 = SampleInputs().v3type_turbine
 
     # Mocked up turbine data
     turbine_data_dict = {
-        "wind_speed":in_dict_v3["power_thrust_table"]["wind_speed"],
-        "power_coefficient":in_dict_v3["power_thrust_table"]["power"],
-        "thrust_coefficient":in_dict_v3["power_thrust_table"]["thrust"]
+        "wind_speed":turbine_data_v3["power_thrust_table"]["wind_speed"],
+        "power_coefficient":turbine_data_v3["power_thrust_table"]["power"],
+        "thrust_coefficient":turbine_data_v3["power_thrust_table"]["thrust"]
     }
 
     test_dict = build_cosine_loss_turbine_dict(
         turbine_data_dict,
-        test_turb_name,
-        generator_efficiency=in_dict_v3["generator_efficiency"],
-        hub_height=in_dict_v3["hub_height"],
-        pP=in_dict_v3["pP"],
-        pT=in_dict_v3["pT"],
-        rotor_diameter=in_dict_v3["rotor_diameter"],
-        TSR=in_dict_v3["TSR"],
-        ref_air_density=in_dict_v3["ref_density_cp_ct"],
-        ref_tilt=in_dict_v3["ref_tilt_cp_ct"]
+        "test_turbine",
+        generator_efficiency=turbine_data_v3["generator_efficiency"],
+        hub_height=turbine_data_v3["hub_height"],
+        pP=turbine_data_v3["pP"],
+        pT=turbine_data_v3["pT"],
+        rotor_diameter=turbine_data_v3["rotor_diameter"],
+        TSR=turbine_data_v3["TSR"],
+        ref_air_density=turbine_data_v3["ref_density_cp_ct"],
+        ref_tilt=turbine_data_v3["ref_tilt_cp_ct"]
     )
 
     # Directly compute power, thrust values
-    Cp = np.array(in_dict_v3["power_thrust_table"]["power"])
-    Ct = np.array(in_dict_v3["power_thrust_table"]["thrust"])
-    ws = np.array(in_dict_v3["power_thrust_table"]["wind_speed"])
-
-    P = 0.5 * in_dict_v3["ref_density_cp_ct"] * (np.pi * in_dict_v3["rotor_diameter"]**2/4) \
+    Cp = np.array(turbine_data_v3["power_thrust_table"]["power"])
+    Ct = np.array(turbine_data_v3["power_thrust_table"]["thrust"])
+    ws = np.array(turbine_data_v3["power_thrust_table"]["wind_speed"])
+
+    P = (
+        0.5 * turbine_data_v3["ref_density_cp_ct"]
+        * turbine_data_v3["generator_efficiency"]
+        * (np.pi * turbine_data_v3["rotor_diameter"]**2/4)
         * Cp * ws**3
-    T = 0.5 * in_dict_v3["ref_density_cp_ct"] * (np.pi * in_dict_v3["rotor_diameter"]**2/4) \
+    )
+    T = (
+        0.5 * turbine_data_v3["ref_density_cp_ct"]
+        * (np.pi * turbine_data_v3["rotor_diameter"]**2/4)
         * Ct * ws**2
+    )
 
     # Compare direct computation to those generated by build_cosine_loss_turbine_dict
     assert np.allclose(Ct, test_dict["power_thrust_table"]["thrust_coefficient"])
     assert np.allclose(P/1000, test_dict["power_thrust_table"]["power"])
 
     # Check that dict keys match the v4 structure
-    in_dict_v4 = yaml.safe_load( open(v4_file_path, "r") )
-    assert set(in_dict_v4.keys()) >= set(test_dict.keys())
+    turbine_data_v4 = SampleInputs().turbine
+    assert set(turbine_data_v4.keys()) >= set(test_dict.keys())
     assert (
-        set(in_dict_v4["power_thrust_table"].keys()) >= set(test_dict["power_thrust_table"].keys())
+        set(turbine_data_v4["power_thrust_table"].keys())
+        >= set(test_dict["power_thrust_table"].keys())
     )
 
     # Check thrust conversion from absolute value
     turbine_data_dict = {
-        "wind_speed":in_dict_v3["power_thrust_table"]["wind_speed"],
+        "wind_speed":turbine_data_v3["power_thrust_table"]["wind_speed"],
         "power": P/1000,
         "thrust": T/1000
     }
 
     test_dict_2 = build_cosine_loss_turbine_dict(
         turbine_data_dict,
-        test_turb_name,
-        generator_efficiency=in_dict_v4["generator_efficiency"],
-        hub_height=in_dict_v4["hub_height"],
-        pP=in_dict_v4["power_thrust_table"]["pP"],
-        pT=in_dict_v4["power_thrust_table"]["pT"],
-        rotor_diameter=in_dict_v4["rotor_diameter"],
-        TSR=in_dict_v4["TSR"],
-        ref_air_density=in_dict_v4["power_thrust_table"]["ref_air_density"],
-        ref_tilt=in_dict_v4["power_thrust_table"]["ref_tilt"]
+        "test_turbine",
+        generator_efficiency=turbine_data_v4["generator_efficiency"],
+        hub_height=turbine_data_v4["hub_height"],
+        pP=turbine_data_v4["power_thrust_table"]["pP"],
+        pT=turbine_data_v4["power_thrust_table"]["pT"],
+        rotor_diameter=turbine_data_v4["rotor_diameter"],
+        TSR=turbine_data_v4["TSR"],
+        ref_air_density=turbine_data_v4["power_thrust_table"]["ref_air_density"],
+        ref_tilt=turbine_data_v4["power_thrust_table"]["ref_tilt"]
     )
     assert np.allclose(Ct, test_dict_2["power_thrust_table"]["thrust_coefficient"])